2a1c_4b92

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 120

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	90	79
Recessive phenotype (aa)	1	30	41

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

79c7_9646

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 164

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	41	44
Pink flowers (Rr)	2	82	75
White flowers (rr)	1	41	45

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:2:1 ratio.
H_A: The observed counts are not exactly in a 1:2:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

c023_506b

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 84

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	63	58
Recessive phenotype (aa)	1	21	26

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are consistent with the expected 1:1 ratio (any differences from the expected ratio are due to chance).
H_A: The offspring proportions are not consistent with the expected 1:1 ratio (the differences are too large to explain by chance alone).

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Correct They swapped the null and alternative hypotheses. Incorrect MC

eabd_4da1

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	114	119
Recessive phenotype (aa)	1	38	33

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are not consistent with the expected 3:1 ratio (the differences are too large to explain by chance alone).
H_A: The offspring proportions are consistent with the expected 3:1 ratio (any differences from the expected ratio are due to chance).

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Correct They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

6cad_9646

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	40	37
Pink flowers (Rr)	2	80	83
White flowers (rr)	1	40	40

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are consistent with the expected 1:1:1 ratio (any differences from the expected ratio are due to chance).
H_A: The offspring proportions are not consistent with the expected 1:1:1 ratio (the differences are too large to explain by chance alone).

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

265f_eebc

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	114	110
Recessive phenotype (aa)	1	38	42

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are consistent with the expected 3:1 ratio (any differences from the expected ratio are due to chance).
H_A: The offspring proportions are not consistent with the expected 3:1 ratio (the differences are too large to explain by chance alone).

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

63c2_3453

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 256

Observed data
Category	Ratio	Expected	Observed
A–B–	1	64	76
A–bb	1	64	57
aaB–	1	64	63
aabb	1	64	60

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are not consistent with the expected 1:1:1:1 ratio (the differences are too large to explain by chance alone).
H_A: The offspring proportions are consistent with the expected 1:1:1:1 ratio (any differences from the expected ratio are due to chance).

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

d82e_1a99

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 320

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	180	203
Yellow Wrinkled (Y–rr)	3	60	58
Green Round (yyR–)	3	60	44
Green Wrinkled (yyrr)	1	20	15

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are not consistent with the expected 9:3:3:1 ratio (the differences are too large to explain by chance alone).
H_A: The offspring proportions are consistent with the expected 9:3:3:1 ratio (any differences from the expected ratio are due to chance).

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Correct MC

7294_7cfa

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	90	90
Yellow Wrinkled (Y–rr)	3	30	33
Green Round (yyR–)	3	30	28
Green Wrinkled (yyrr)	1	10	9

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are consistent with the expected 9:3:3:1 ratio (any differences from the expected ratio are due to chance).
H_A: The offspring proportions are not consistent with the expected 9:3:3:1 ratio (the differences are too large to explain by chance alone).

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect MC

3d34_9646

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 180

Observed data
Category	Ratio	Expected	Observed
A–B–	1	45	32
A–bb	1	45	56
aaB–	1	45	45
aabb	1	45	47

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

7f73_3453

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 176

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	44	44
Pink flowers (Rr)	2	88	98
White flowers (rr)	1	44	34

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are not consistent with the expected 1:2:1 ratio (the differences are too large to explain by chance alone).
H_A: The offspring proportions are consistent with the expected 1:2:1 ratio (any differences from the expected ratio are due to chance).

What is the main problem with their hypotheses?

578f_f222

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 284

Observed data
Category	Ratio	Expected	Observed
A–B–	1	71	81
A–bb	1	71	76
aaB–	1	71	57
aabb	1	71	70

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Correct They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

e52a_626a

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 220

Observed data
Category	Ratio	Expected	Observed
A–B–	1	55	51
A–bb	1	55	58
aaB–	1	55	63
aabb	1	55	48

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

8ed2_3ad3

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 96

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	72	71
Recessive phenotype (aa)	1	24	25

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Correct MC

b865_daac

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 244

Observed data
Category	Ratio	Expected	Observed
A–B–	1	61	45
A–bb	1	61	64
aaB–	1	61	58
aabb	1	61	77

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are consistent with the expected 1:1:1:1 ratio (any differences from the expected ratio are due to chance).
H_A: The offspring proportions are not consistent with the expected 1:1:1:1 ratio (the differences are too large to explain by chance alone).

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Correct They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

f446_7cfa

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 208

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	117	116
Yellow Wrinkled (Y–rr)	3	39	35
Green Round (yyR–)	3	39	42
Green Wrinkled (yyrr)	1	13	15

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They swapped the null and alternative hypotheses. Incorrect MC

d794_e042

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 184

Observed data
Category	Ratio	Expected	Observed
A–B–	1	46	44
A–bb	1	46	45
aaB–	1	46	51
aabb	1	46	44

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

6324_3ad3

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 272

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	153	153
Yellow Wrinkled (Y–rr)	3	51	52
Green Round (yyR–)	3	51	49
Green Wrinkled (yyrr)	1	17	18

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are consistent with the expected 8:2:4:2 ratio (any differences from the expected ratio are due to chance).
H_A: The offspring proportions are not consistent with the expected 8:2:4:2 ratio (the differences are too large to explain by chance alone).

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

f648_3ad3

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 144

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	36	40
Pink flowers (Rr)	2	72	69
White flowers (rr)	1	36	35

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

23d6_717c

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 288

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	162	159
Yellow Wrinkled (Y–rr)	3	54	50
Green Round (yyR–)	3	54	63
Green Wrinkled (yyrr)	1	18	16

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

6bdd_88d6

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 228

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	57	58
Pink flowers (Rr)	2	114	112
White flowers (rr)	1	57	58

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Correct MC

f8ee_3453

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 116

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	87	82
Recessive phenotype (aa)	1	29	34

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

32a4_4da1

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 92

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	69	69
Recessive phenotype (aa)	1	23	23

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

cc9a_1a99

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 92

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	69	69
Recessive phenotype (aa)	1	23	23

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

7b2a_9646

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 232

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	58	55
Pink flowers (Rr)	2	116	119
White flowers (rr)	1	58	58

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

2cd4_d268

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 288

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	162	157
Yellow Wrinkled (Y–rr)	3	54	57
Green Round (yyR–)	3	54	54
Green Wrinkled (yyrr)	1	18	20

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

60c0_0884

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	114	117
Recessive phenotype (aa)	1	38	35

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

1018_06ec

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 176

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	44	42
Pink flowers (Rr)	2	88	88
White flowers (rr)	1	44	46

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:2:1 ratio.
H_A: The observed counts are not exactly in a 1:2:1 ratio.

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

b05a_717c

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 228

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	57	58
Pink flowers (Rr)	2	114	107
White flowers (rr)	1	57	63

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The offspring proportions are consistent with the expected 1:2:1 ratio (any differences from the expected ratio are due to chance).
H_A: The offspring proportions are not consistent with the expected 1:2:1 ratio (the differences are too large to explain by chance alone).

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

15d9_f222

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 80

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	60	60
Recessive phenotype (aa)	1	20	20

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

4fc7_7cfa

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 156

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	117	119
Recessive phenotype (aa)	1	39	37

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Correct MC

1624_daac

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 240

Observed data
Category	Ratio	Expected	Observed
A–B–	1	60	53
A–bb	1	60	65
aaB–	1	60	57
aabb	1	60	65

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

ba9a_daac

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 264

Observed data
Category	Ratio	Expected	Observed
A–B–	1	66	53
A–bb	1	66	76
aaB–	1	66	69
aabb	1	66	66

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

a2ae_06ec

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 128

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	96	99
Recessive phenotype (aa)	1	32	29

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Correct They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

4e72_3ad3

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 148

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	37	32
Pink flowers (Rr)	2	74	81
White flowers (rr)	1	37	35

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

2f37_a236

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	114	115
Recessive phenotype (aa)	1	38	37

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

dde8_14a8

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 288

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	162	154
Yellow Wrinkled (Y–rr)	3	54	45
Green Round (yyR–)	3	54	66
Green Wrinkled (yyrr)	1	18	23

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

58f8_f222

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 208

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	117	121
Yellow Wrinkled (Y–rr)	3	39	28
Green Round (yyR–)	3	39	46
Green Wrinkled (yyrr)	1	13	13

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

6b0b_eebc

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 168

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	42	47
Pink flowers (Rr)	2	84	75
White flowers (rr)	1	42	46

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Correct They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

35cc_daac

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 156

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	39	47
Pink flowers (Rr)	2	78	66
White flowers (rr)	1	39	43

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

60e9_daac

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 96

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	72	73
Recessive phenotype (aa)	1	24	23

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

835f_d268

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	48	65
Pink flowers (Rr)	2	96	81
White flowers (rr)	1	48	46

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

ffce_e042

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 180

Observed data
Category	Ratio	Expected	Observed
A–B–	1	45	47
A–bb	1	45	38
aaB–	1	45	52
aabb	1	45	43

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

7897_2917

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 292

Observed data
Category	Ratio	Expected	Observed
A–B–	1	73	91
A–bb	1	73	52
aaB–	1	73	82
aabb	1	73	67

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Correct They swapped the null and alternative hypotheses. Incorrect MC

673b_14a8

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 224

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	56	59
Pink flowers (Rr)	2	112	110
White flowers (rr)	1	56	55

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

f102_2917

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	90	87
Yellow Wrinkled (Y–rr)	3	30	35
Green Round (yyR–)	3	30	29
Green Wrinkled (yyrr)	1	10	9

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

4b85_1a99

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 92

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	69	76
Recessive phenotype (aa)	1	23	16

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They swapped the null and alternative hypotheses. Incorrect MC

3c3e_0884

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 124

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	93	92
Recessive phenotype (aa)	1	31	32

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

d800_e042

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 224

Observed data
Category	Ratio	Expected	Observed
A–B–	1	56	63
A–bb	1	56	53
aaB–	1	56	49
aabb	1	56	59

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Correct They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

6fe7_506b

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 244

Observed data
Category	Ratio	Expected	Observed
A–B–	1	61	62
A–bb	1	61	64
aaB–	1	61	52
aabb	1	61	66

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

d0d5_daac

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	114	111
Recessive phenotype (aa)	1	38	41

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

5ff8_a236

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 112

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	84	78
Recessive phenotype (aa)	1	28	34

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Correct They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

f2f0_06ec

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 296

Observed data
Category	Ratio	Expected	Observed
A–B–	1	74	76
A–bb	1	74	64
aaB–	1	74	78
aabb	1	74	78

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

e713_0884

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 120

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	30	29
Pink flowers (Rr)	2	60	62
White flowers (rr)	1	30	29

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

8400_4b92

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 124

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	93	89
Recessive phenotype (aa)	1	31	35

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

cc9a_506b

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 92

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	69	69
Recessive phenotype (aa)	1	23	23

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

a01c_4da1

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 136

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	34	31
Pink flowers (Rr)	2	68	69
White flowers (rr)	1	34	36

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

c972_717c

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 112

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	84	75
Recessive phenotype (aa)	1	28	37

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

94e0_7cfa

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 284

Observed data
Category	Ratio	Expected	Observed
A–B–	1	71	71
A–bb	1	71	58
aaB–	1	71	76
aabb	1	71	79

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

4908_626a

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	108	111
Yellow Wrinkled (Y–rr)	3	36	39
Green Round (yyR–)	3	36	30
Green Wrinkled (yyrr)	1	12	12

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

53a6_3ad3

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 248

Observed data
Category	Ratio	Expected	Observed
A–B–	1	62	63
A–bb	1	62	64
aaB–	1	62	65
aabb	1	62	56

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

efe6_daac

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	90	97
Yellow Wrinkled (Y–rr)	3	30	27
Green Round (yyR–)	3	30	22
Green Wrinkled (yyrr)	1	10	14

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

01c6_1a99

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 148

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	111	100
Recessive phenotype (aa)	1	37	48

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

1319_717c

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 272

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	153	139
Yellow Wrinkled (Y–rr)	3	51	58
Green Round (yyR–)	3	51	57
Green Wrinkled (yyrr)	1	17	18

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

2d84_0884

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 212

Observed data
Category	Ratio	Expected	Observed
A–B–	1	53	50
A–bb	1	53	55
aaB–	1	53	51
aabb	1	53	56

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

a03a_4d2f

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 216

Observed data
Category	Ratio	Expected	Observed
A–B–	1	54	56
A–bb	1	54	55
aaB–	1	54	51
aabb	1	54	54

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

fba7_f222

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 156

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	117	106
Recessive phenotype (aa)	1	39	50

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

263a_7cfa

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 320

Observed data
Category	Ratio	Expected	Observed
A–B–	1	80	82
A–bb	1	80	77
aaB–	1	80	75
aabb	1	80	86

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect MC

583e_626a

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 224

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	56	58
Pink flowers (Rr)	2	112	104
White flowers (rr)	1	56	62

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:2:1 ratio.
H_A: The observed counts are not exactly in a 1:2:1 ratio.

What is the main problem with their hypotheses?

a006_14a8

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 156

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	39	42
Pink flowers (Rr)	2	78	74
White flowers (rr)	1	39	40

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

3b69_0884

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	90	91
Yellow Wrinkled (Y–rr)	3	30	28
Green Round (yyR–)	3	30	28
Green Wrinkled (yyrr)	1	10	13

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

ae9b_012b

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 200

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	50	63
Pink flowers (Rr)	2	100	100
White flowers (rr)	1	50	37

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

f9e7_012b

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 92

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	69	66
Recessive phenotype (aa)	1	23	26

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

e48b_daac

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 144

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	36	33
Pink flowers (Rr)	2	72	67
White flowers (rr)	1	36	44

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

bd31_012b

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	90	91
Yellow Wrinkled (Y–rr)	3	30	31
Green Round (yyR–)	3	30	27
Green Wrinkled (yyrr)	1	10	11

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

eaa7_06ec

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 156

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	117	112
Recessive phenotype (aa)	1	39	44

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

f3cc_012b

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 196

Observed data
Category	Ratio	Expected	Observed
A–B–	1	49	56
A–bb	1	49	47
aaB–	1	49	45
aabb	1	49	48

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

2d2e_f222

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 96

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	72	75
Recessive phenotype (aa)	1	24	21

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

4835_506b

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 256

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	144	134
Yellow Wrinkled (Y–rr)	3	48	55
Green Round (yyR–)	3	48	51
Green Wrinkled (yyrr)	1	16	16

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

b8b5_012b

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 184

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	46	42
Pink flowers (Rr)	2	92	89
White flowers (rr)	1	46	53

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:2:1 ratio.
H_A: The observed counts are not exactly in a 1:2:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

c940_1a99

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 228

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	57	55
Pink flowers (Rr)	2	114	119
White flowers (rr)	1	57	54

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:2:1 ratio.
H_A: The observed counts are not exactly in a 1:2:1 ratio.

What is the main problem with their hypotheses?

d1f4_d268

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 256

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	144	141
Yellow Wrinkled (Y–rr)	3	48	52
Green Round (yyR–)	3	48	47
Green Wrinkled (yyrr)	1	16	16

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

cd2b_717c

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 148

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	111	109
Recessive phenotype (aa)	1	37	39

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

9427_4d2f

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 144

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	108	109
Recessive phenotype (aa)	1	36	35

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

a431_2917

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 204

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	51	48
Pink flowers (Rr)	2	102	101
White flowers (rr)	1	51	55

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

709c_4da1

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 220

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	55	51
Pink flowers (Rr)	2	110	105
White flowers (rr)	1	55	64

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

e8a0_1ac0

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 296

Observed data
Category	Ratio	Expected	Observed
A–B–	1	74	77
A–bb	1	74	75
aaB–	1	74	81
aabb	1	74	63

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

5870_1a99

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	108	104
Yellow Wrinkled (Y–rr)	3	36	38
Green Round (yyR–)	3	36	39
Green Wrinkled (yyrr)	1	12	11

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

5123_88d6

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 88

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	66	69
Recessive phenotype (aa)	1	22	19

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect MC

c7ea_06ec

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	114	111
Recessive phenotype (aa)	1	38	41

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

cc99_626a

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 244

Observed data
Category	Ratio	Expected	Observed
A–B–	1	61	71
A–bb	1	61	58
aaB–	1	61	54
aabb	1	61	61

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

62ef_4b92

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 84

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	63	62
Recessive phenotype (aa)	1	21	22

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

3b12_4b92

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	114	121
Recessive phenotype (aa)	1	38	31

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

bbb0_a236

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 212

Observed data
Category	Ratio	Expected	Observed
A–B–	1	53	72
A–bb	1	53	49
aaB–	1	53	43
aabb	1	53	48

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

ec2b_06ec

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 252

Observed data
Category	Ratio	Expected	Observed
A–B–	1	63	66
A–bb	1	63	61
aaB–	1	63	64
aabb	1	63	61

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

72a0_4da1

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 204

Observed data
Category	Ratio	Expected	Observed
A–B–	1	51	52
A–bb	1	51	50
aaB–	1	51	49
aabb	1	51	53

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

4414_4d2f

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 320

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	180	170
Yellow Wrinkled (Y–rr)	3	60	70
Green Round (yyR–)	3	60	61
Green Wrinkled (yyrr)	1	20	19

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

879d_a236

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 296

Observed data
Category	Ratio	Expected	Observed
A–B–	1	74	74
A–bb	1	74	83
aaB–	1	74	81
aabb	1	74	58

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

7185_daac

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 120

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	30	32
Pink flowers (Rr)	2	60	60
White flowers (rr)	1	30	28

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

3d5c_1ac0

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 96

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	72	69
Recessive phenotype (aa)	1	24	27

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

b502_9646

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 136

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	34	36
Pink flowers (Rr)	2	68	65
White flowers (rr)	1	34	35

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

c2bb_daac

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 144

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	108	117
Recessive phenotype (aa)	1	36	27

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

f8a3_eebc

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 176

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	99	90
Yellow Wrinkled (Y–rr)	3	33	24
Green Round (yyR–)	3	33	52
Green Wrinkled (yyrr)	1	11	10

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

a884_4b92

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 132

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	33	35
Pink flowers (Rr)	2	66	62
White flowers (rr)	1	33	35

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

664e_2917

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 128

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	96	88
Recessive phenotype (aa)	1	32	40

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

7f93_eebc

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 272

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	153	147
Yellow Wrinkled (Y–rr)	3	51	61
Green Round (yyR–)	3	51	49
Green Wrinkled (yyrr)	1	17	15

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

9f1d_88d6

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 320

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	180	189
Yellow Wrinkled (Y–rr)	3	60	53
Green Round (yyR–)	3	60	61
Green Wrinkled (yyrr)	1	20	17

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

0d00_a236

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	90	89
Yellow Wrinkled (Y–rr)	3	30	30
Green Round (yyR–)	3	30	32
Green Wrinkled (yyrr)	1	10	9

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

6919_0884

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 300

Observed data
Category	Ratio	Expected	Observed
A–B–	1	75	66
A–bb	1	75	83
aaB–	1	75	75
aabb	1	75	76

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

478f_012b

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 292

Observed data
Category	Ratio	Expected	Observed
A–B–	1	73	79
A–bb	1	73	73
aaB–	1	73	60
aabb	1	73	80

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Correct They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

c337_06ec

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 224

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	126	121
Yellow Wrinkled (Y–rr)	3	42	50
Green Round (yyR–)	3	42	43
Green Wrinkled (yyrr)	1	14	10

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

a360_f222

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 276

Observed data
Category	Ratio	Expected	Observed
A–B–	1	69	71
A–bb	1	69	67
aaB–	1	69	74
aabb	1	69	64

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

8cd4_4d2f

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 120

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	90	84
Recessive phenotype (aa)	1	30	36

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

c8b0_2917

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 84

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	63	57
Recessive phenotype (aa)	1	21	27

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

7810_88d6

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 292

Observed data
Category	Ratio	Expected	Observed
A–B–	1	73	72
A–bb	1	73	78
aaB–	1	73	76
aabb	1	73	66

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

ac98_f222

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 144

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	108	107
Recessive phenotype (aa)	1	36	37

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

ef25_717c

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 208

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	117	120
Yellow Wrinkled (Y–rr)	3	39	39
Green Round (yyR–)	3	39	39
Green Wrinkled (yyrr)	1	13	10

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

c052_3453

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 80

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	60	56
Recessive phenotype (aa)	1	20	24

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

0ebb_a236

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	108	107
Yellow Wrinkled (Y–rr)	3	36	40
Green Round (yyR–)	3	36	35
Green Wrinkled (yyrr)	1	12	10

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

4fa7_012b

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 204

Observed data
Category	Ratio	Expected	Observed
A–B–	1	51	52
A–bb	1	51	48
aaB–	1	51	51
aabb	1	51	53

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

fad2_012b

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	108	102
Yellow Wrinkled (Y–rr)	3	36	32
Green Round (yyR–)	3	36	43
Green Wrinkled (yyrr)	1	12	15

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

2abb_14a8

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 240

Observed data
Category	Ratio	Expected	Observed
A–B–	1	60	65
A–bb	1	60	62
aaB–	1	60	47
aabb	1	60	66

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

cabd_717c

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 240

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	135	134
Yellow Wrinkled (Y–rr)	3	45	52
Green Round (yyR–)	3	45	38
Green Wrinkled (yyrr)	1	15	16

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

24e2_88d6

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 112

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	84	84
Recessive phenotype (aa)	1	28	28

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

d5f8_3453

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	38	45
Pink flowers (Rr)	2	76	73
White flowers (rr)	1	38	34

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

8d46_88d6

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 280

Observed data
Category	Ratio	Expected	Observed
A–B–	1	70	71
A–bb	1	70	88
aaB–	1	70	59
aabb	1	70	62

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

175a_06ec

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 120

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	90	88
Recessive phenotype (aa)	1	30	32

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

201a_d268

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 244

Observed data
Category	Ratio	Expected	Observed
A–B–	1	61	56
A–bb	1	61	53
aaB–	1	61	61
aabb	1	61	74

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

fea0_14a8

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 136

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	102	101
Recessive phenotype (aa)	1	34	35

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

9c0a_06ec

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 208

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	117	111
Yellow Wrinkled (Y–rr)	3	39	43
Green Round (yyR–)	3	39	41
Green Wrinkled (yyrr)	1	13	13

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

7138_88d6

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 208

Observed data
Category	Ratio	Expected	Observed
A–B–	1	52	49
A–bb	1	52	49
aaB–	1	52	48
aabb	1	52	62

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

495e_7cfa

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	40	36
Pink flowers (Rr)	2	80	82
White flowers (rr)	1	40	42

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

b297_626a

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 208

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	117	120
Yellow Wrinkled (Y–rr)	3	39	34
Green Round (yyR–)	3	39	43
Green Wrinkled (yyrr)	1	13	11

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

6946_2917

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 100

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	75	73
Recessive phenotype (aa)	1	25	27

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct MC

59cd_a236

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 216

Observed data
Category	Ratio	Expected	Observed
A–B–	1	54	57
A–bb	1	54	52
aaB–	1	54	55
aabb	1	54	52

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

1ce5_506b

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 140

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	105	104
Recessive phenotype (aa)	1	35	36

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

0e0c_f222

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 120

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	90	89
Recessive phenotype (aa)	1	30	31

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

077d_88d6

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	120	119
Recessive phenotype (aa)	1	40	41

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Correct They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect MC

765b_1a99

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 320

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	180	189
Yellow Wrinkled (Y–rr)	3	60	55
Green Round (yyR–)	3	60	47
Green Wrinkled (yyrr)	1	20	29

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They swapped the null and alternative hypotheses. Incorrect MC

d4f0_2917

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
A–B–	1	48	47
A–bb	1	48	49
aaB–	1	48	44
aabb	1	48	52

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct MC

03b4_0884

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	108	105
Yellow Wrinkled (Y–rr)	3	36	39
Green Round (yyR–)	3	36	38
Green Wrinkled (yyrr)	1	12	10

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

7d55_06ec

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 172

Observed data
Category	Ratio	Expected	Observed
A–B–	1	43	35
A–bb	1	43	48
aaB–	1	43	45
aabb	1	43	44

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

4a20_2917

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 80

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	60	58
Recessive phenotype (aa)	1	20	22

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

3c95_4da1

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 276

Observed data
Category	Ratio	Expected	Observed
A–B–	1	69	63
A–bb	1	69	74
aaB–	1	69	75
aabb	1	69	64

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

5f07_3ad3

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 204

Observed data
Category	Ratio	Expected	Observed
A–B–	1	51	45
A–bb	1	51	51
aaB–	1	51	58
aabb	1	51	50

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

9eac_4da1

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 308

Observed data
Category	Ratio	Expected	Observed
A–B–	1	77	67
A–bb	1	77	84
aaB–	1	77	71
aabb	1	77	86

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

d85c_f222

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 100

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	75	75
Recessive phenotype (aa)	1	25	25

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

6f74_14a8

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 272

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	153	159
Yellow Wrinkled (Y–rr)	3	51	39
Green Round (yyR–)	3	51	49
Green Wrinkled (yyrr)	1	17	25

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

e372_9646

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 88

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	66	71
Recessive phenotype (aa)	1	22	17

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

9679_7cfa

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 172

Observed data
Category	Ratio	Expected	Observed
A–B–	1	43	45
A–bb	1	43	35
aaB–	1	43	51
aabb	1	43	41

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Correct MC

b309_717c

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 156

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	117	111
Recessive phenotype (aa)	1	39	45

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

a9ae_1ac0

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 176

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	99	102
Yellow Wrinkled (Y–rr)	3	33	33
Green Round (yyR–)	3	33	30
Green Wrinkled (yyrr)	1	11	11

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

60b7_a236

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 156

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	39	43
Pink flowers (Rr)	2	78	76
White flowers (rr)	1	39	37

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

3195_9646

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 268

Observed data
Category	Ratio	Expected	Observed
A–B–	1	67	81
A–bb	1	67	60
aaB–	1	67	62
aabb	1	67	65

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

2a2d_626a

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 256

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	144	143
Yellow Wrinkled (Y–rr)	3	48	48
Green Round (yyR–)	3	48	54
Green Wrinkled (yyrr)	1	16	11

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

eebc_14a8

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 296

Observed data
Category	Ratio	Expected	Observed
A–B–	1	74	62
A–bb	1	74	72
aaB–	1	74	77
aabb	1	74	85

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

8820_3453

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 148

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	111	110
Recessive phenotype (aa)	1	37	38

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect MC

6c54_e042

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	40	38
Pink flowers (Rr)	2	80	78
White flowers (rr)	1	40	44

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Correct They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

32ad_7cfa

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 308

Observed data
Category	Ratio	Expected	Observed
A–B–	1	77	76
A–bb	1	77	63
aaB–	1	77	80
aabb	1	77	89

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

266b_717c

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 176

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	99	99
Yellow Wrinkled (Y–rr)	3	33	36
Green Round (yyR–)	3	33	33
Green Wrinkled (yyrr)	1	11	8

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

ce83_7cfa

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 136

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	102	100
Recessive phenotype (aa)	1	34	36

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

6300_e042

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 168

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	42	43
Pink flowers (Rr)	2	84	86
White flowers (rr)	1	42	39

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

d757_d268

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 88

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	66	60
Recessive phenotype (aa)	1	22	28

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

0e0f_daac

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 256

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	144	140
Yellow Wrinkled (Y–rr)	3	48	57
Green Round (yyR–)	3	48	50
Green Wrinkled (yyrr)	1	16	9

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

b040_e042

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 116

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	87	95
Recessive phenotype (aa)	1	29	21

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

15d9_717c

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 80

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	60	60
Recessive phenotype (aa)	1	20	20

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

8798_717c

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	48	49
Pink flowers (Rr)	2	96	99
White flowers (rr)	1	48	44

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

aecf_717c

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 224

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	126	131
Yellow Wrinkled (Y–rr)	3	42	41
Green Round (yyR–)	3	42	40
Green Wrinkled (yyrr)	1	14	12

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

21c9_4da1

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 224

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	126	141
Yellow Wrinkled (Y–rr)	3	42	42
Green Round (yyR–)	3	42	28
Green Wrinkled (yyrr)	1	14	13

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

267d_4d2f

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	90	102
Yellow Wrinkled (Y–rr)	3	30	37
Green Round (yyR–)	3	30	14
Green Wrinkled (yyrr)	1	10	7

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

3a5e_14a8

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 192

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	108	109
Yellow Wrinkled (Y–rr)	3	36	45
Green Round (yyR–)	3	36	25
Green Wrinkled (yyrr)	1	12	13

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 9:3:3:1 ratio.
H_A: The observed counts are not exactly in a 9:3:3:1 ratio.

What is the main problem with their hypotheses?

c795_4da1

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 272

Observed data
Category	Ratio	Expected	Observed
A–B–	1	68	66
A–bb	1	68	62
aaB–	1	68	73
aabb	1	68	71

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

6e1d_eebc

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 172

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	43	40
Pink flowers (Rr)	2	86	82
White flowers (rr)	1	43	50

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

b08d_626a

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 240

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	60	51
Pink flowers (Rr)	2	120	122
White flowers (rr)	1	60	67

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Correct They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

3d5e_0884

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 204

Observed data
Category	Ratio	Expected	Observed
A–B–	1	51	47
A–bb	1	51	49
aaB–	1	51	52
aabb	1	51	56

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

3229_a236

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 220

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	55	53
Pink flowers (Rr)	2	110	103
White flowers (rr)	1	55	64

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

dc74_14a8

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 128

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	32	36
Pink flowers (Rr)	2	64	68
White flowers (rr)	1	32	24

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

18ad_f222

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 240

Observed data
Category	Ratio	Expected	Observed
A–B–	1	60	63
A–bb	1	60	56
aaB–	1	60	63
aabb	1	60	58

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

8989_3453

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 128

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	96	90
Recessive phenotype (aa)	1	32	38

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

d9b0_506b

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 240

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	135	138
Yellow Wrinkled (Y–rr)	3	45	42
Green Round (yyR–)	3	45	41
Green Wrinkled (yyrr)	1	15	19

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Correct MC

d390_3453

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 132

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	99	109
Recessive phenotype (aa)	1	33	23

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct MC

4fd3_3453

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 256

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	144	157
Yellow Wrinkled (Y–rr)	3	48	47
Green Round (yyR–)	3	48	37
Green Wrinkled (yyrr)	1	16	15

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

1bbc_1ac0

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 272

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	153	154
Yellow Wrinkled (Y–rr)	3	51	58
Green Round (yyR–)	3	51	43
Green Wrinkled (yyrr)	1	17	17

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

b904_a236

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 132

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	33	34
Pink flowers (Rr)	2	66	66
White flowers (rr)	1	33	32

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

6b64_14a8

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 116

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	87	88
Recessive phenotype (aa)	1	29	28

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

0447_4b92

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 132

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	99	100
Recessive phenotype (aa)	1	33	32

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 3:1 ratio.
H_A: The observed counts are not exactly in a 3:1 ratio.

What is the main problem with their hypotheses?

a5bd_7cfa

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 320

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	180	189
Yellow Wrinkled (Y–rr)	3	60	46
Green Round (yyR–)	3	60	62
Green Wrinkled (yyrr)	1	20	23

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

31d3_7cfa

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	90	83
Yellow Wrinkled (Y–rr)	3	30	31
Green Round (yyR–)	3	30	34
Green Wrinkled (yyrr)	1	10	12

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

d775_9646

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 140

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	105	112
Recessive phenotype (aa)	1	35	28

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct They swapped the null and alternative hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

352e_e042

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 272

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	153	154
Yellow Wrinkled (Y–rr)	3	51	50
Green Round (yyR–)	3	51	54
Green Wrinkled (yyrr)	1	17	14

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Correct They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

c22d_1a99

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 292

Observed data
Category	Ratio	Expected	Observed
A–B–	1	73	79
A–bb	1	73	67
aaB–	1	73	68
aabb	1	73	78

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

053b_4da1

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 240

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	60	54
Pink flowers (Rr)	2	120	128
White flowers (rr)	1	60	58

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:2:1 ratio.
H_A: The observed counts are not exactly in a 1:2:1 ratio.

What is the main problem with their hypotheses?

They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

3d5b_06ec

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 136

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	102	94
Recessive phenotype (aa)	1	34	42

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They swapped the null and alternative hypotheses. Incorrect They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

9cb2_06ec

Your lab partner is trying again (eye roll).

You perform a dihybrid testcross (AaBb × aabb) and count the offspring phenotypes.

Total offspring scored: 188

Observed data
Category	Ratio	Expected	Observed
A–B–	1	47	44
A–bb	1	47	52
aaB–	1	47	43
aabb	1	47	49

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

4b88_f222

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 152

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	38	31
Pink flowers (Rr)	2	76	82
White flowers (rr)	1	38	39

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect They used the wrong expected ratio in the hypotheses. Incorrect They swapped the null and alternative hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

671e_d268

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 116

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	87	86
Recessive phenotype (aa)	1	29	30

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

200d_14a8

Your lab partner is trying again (eye roll).

You cross two heterozygous individuals (Aa × Aa) and score the offspring phenotypes.

Total offspring scored: 88

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	66	61
Recessive phenotype (aa)	1	22	27

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

d1cf_717c

Your lab partner is trying again (eye roll).

You perform a standard dihybrid cross and count the F₂ offspring phenotypes.

Total offspring scored: 320

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	180	192
Yellow Wrinkled (Y–rr)	3	60	54
Green Round (yyR–)	3	60	60
Green Wrinkled (yyrr)	1	20	14

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

What is the main problem with their hypotheses?

3913_e042

Your lab partner is trying again (eye roll).

In a plant species with incomplete dominance, you cross two pink individuals (Rr × Rr) and score flower color.

Total offspring scored: 228

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	57	65
Pink flowers (Rr)	2	114	122
White flowers (rr)	1	57	41

They are setting up a chi-squared (χ²) goodness-of-fit test, but they wrote the hypotheses below:

H₀: The observed counts are exactly in a 1:2:1 ratio.
H_A: The observed counts are not exactly in a 1:2:1 ratio.

What is the main problem with their hypotheses?