c4ac_14a8

Your lab partner is trying again (eye roll).

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

Total offspring scored: 200

Observed data
Category	Ratio	Expected	Observed
A–B–	1	50	51
A–bb	1	50	48
aaB–	1	50	47
aabb	1	50	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 1:1:1:1 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 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

93ac_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: 176

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	44	32
Pink flowers (Rr)	2	88	100
White flowers (rr)	1	44	44

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 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 They swapped the null and alternative hypotheses. Incorrect MC

ca2b_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: 160

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	40	45
Pink flowers (Rr)	2	80	78
White flowers (rr)	1	40	37

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?

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

bfdb_4b92

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	56
A–bb	1	55	57
aaB–	1	55	60
aabb	1	55	47

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 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 They used the wrong expected ratio in the hypotheses. Correct MC

6d75_4b92

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	163
Yellow Wrinkled (Y–rr)	3	54	55
Green Round (yyR–)	3	54	50
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 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?

d0b3_012b

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	105
Recessive phenotype (aa)	1	33	27

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 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

388c_4da1

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	78
Recessive phenotype (aa)	1	25	22

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 They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect Nothing is wrong; the hypotheses are stated correctly. Correct MC

74c2_012b

Your lab partner is trying again (eye roll).

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

Total offspring scored: 160

Observed data
Category	Ratio	Expected	Observed
A–B–	1	40	36
A–bb	1	40	42
aaB–	1	40	35
aabb	1	40	47

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?

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

23a1_2917

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	33
Green Round (yyR–)	3	36	43
Green Wrinkled (yyrr)	1	12	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. 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

c8a5_1a99

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:

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 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

136b_4d2f

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	160
Yellow Wrinkled (Y–rr)	3	51	45
Green Round (yyR–)	3	51	48
Green Wrinkled (yyrr)	1	17	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 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

5336_0884

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	90
Recessive phenotype (aa)	1	28	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. 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

a40b_06ec

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	108
Recessive phenotype (aa)	1	36	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?

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

989a_3453

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	67
Recessive phenotype (aa)	1	25	33

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

d9e0_4d2f

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	54
Pink flowers (Rr)	2	92	89
White flowers (rr)	1	46	41

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?

26a1_88d6

Your lab partner is trying again (eye roll).

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

Total offspring scored: 316

Observed data
Category	Ratio	Expected	Observed
A–B–	1	79	83
A–bb	1	79	81
aaB–	1	79	79
aabb	1	79	73

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?

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

7b43_1a99

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	48
aaB–	1	45	47
aabb	1	45	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?

fedf_012b

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	47
Green Round (yyR–)	3	51	60
Green Wrinkled (yyrr)	1	17	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?

58bb_4da1

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	72
A–bb	1	75	86
aaB–	1	75	71
aabb	1	75	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?

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

4e94_1a99

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	42
A–bb	1	45	52
aaB–	1	45	49
aabb	1	45	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?

93cb_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: 152

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	38	39
Pink flowers (Rr)	2	76	79
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 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

8e07_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: 136

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	34	33
Pink flowers (Rr)	2	68	68
White flowers (rr)	1	34	35

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 incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They swapped the null and alternative hypotheses. Incorrect MC

dec9_0884

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	155
Yellow Wrinkled (Y–rr)	3	51	46
Green Round (yyR–)	3	51	56
Green Wrinkled (yyrr)	1	17	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 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 Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

8c36_2917

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	142
Yellow Wrinkled (Y–rr)	3	54	57
Green Round (yyR–)	3	54	63
Green Wrinkled (yyrr)	1	18	26

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

b2d9_06ec

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	123
Recessive phenotype (aa)	1	37	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 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

9213_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: 216

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	54	54
Pink flowers (Rr)	2	108	106
White flowers (rr)	1	54	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?

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

2302_f222

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	109
Recessive phenotype (aa)	1	34	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?

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

45b8_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	150
Yellow Wrinkled (Y–rr)	3	51	49
Green Round (yyR–)	3	51	57
Green Wrinkled (yyrr)	1	17	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

d57c_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: 128

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	32	32
Pink flowers (Rr)	2	64	65
White flowers (rr)	1	32	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?

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

fba5_4da1

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:

What is the main problem with their hypotheses?

1921_9646

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	91
Yellow Wrinkled (Y–rr)	3	33	39
Green Round (yyR–)	3	33	36
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 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

da28_eebc

Your lab partner is trying again (eye roll).

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

Total offspring scored: 304

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	171	178
Yellow Wrinkled (Y–rr)	3	57	50
Green Round (yyR–)	3	57	61
Green Wrinkled (yyrr)	1	19	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 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 They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct MC

357e_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: 192

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	48	57
Pink flowers (Rr)	2	96	85
White flowers (rr)	1	48	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?

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

c304_88d6

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	74
Recessive phenotype (aa)	1	23	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?

ad6b_3ad3

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	81
Yellow Wrinkled (Y–rr)	3	30	30
Green Round (yyR–)	3	30	37
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?

0e32_f222

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	101
Recessive phenotype (aa)	1	33	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?

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

8948_a236

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	102
Recessive phenotype (aa)	1	37	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 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

a3a7_506b

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	40
Pink flowers (Rr)	2	96	98
White flowers (rr)	1	48	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?

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

9713_717c

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	95
Yellow Wrinkled (Y–rr)	3	30	39
Green Round (yyR–)	3	30	23
Green Wrinkled (yyrr)	1	10	3

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

7ab6_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: 160

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	40	46
Pink flowers (Rr)	2	80	73
White flowers (rr)	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?

a45e_0884

Your lab partner is trying again (eye roll).

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

Total offspring scored: 228

Observed data
Category	Ratio	Expected	Observed
A–B–	1	57	47
A–bb	1	57	58
aaB–	1	57	63
aabb	1	57	60

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

4405_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: 236

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	59	68
Pink flowers (Rr)	2	118	109
White flowers (rr)	1	59	59

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?

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

406b_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	109
Yellow Wrinkled (Y–rr)	3	36	39
Green Round (yyR–)	3	36	37
Green Wrinkled (yyrr)	1	12	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. 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

5f74_506b

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	190
Yellow Wrinkled (Y–rr)	3	60	55
Green Round (yyR–)	3	60	62
Green Wrinkled (yyrr)	1	20	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?

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

2a98_9646

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	135
Yellow Wrinkled (Y–rr)	3	45	47
Green Round (yyR–)	3	45	45
Green Wrinkled (yyrr)	1	15	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 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

6761_f222

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	69
A–bb	1	64	66
aaB–	1	64	52
aabb	1	64	69

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 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

340b_4b92

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	86
Yellow Wrinkled (Y–rr)	3	30	33
Green Round (yyR–)	3	30	34
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?

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

a7ae_eebc

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	48
A–bb	1	52	52
aaB–	1	52	50
aabb	1	52	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 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

1d30_7cfa

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	160
Yellow Wrinkled (Y–rr)	3	54	56
Green Round (yyR–)	3	54	53
Green Wrinkled (yyrr)	1	18	19

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?

473d_012b

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	43
Green Round (yyR–)	3	51	48
Green Wrinkled (yyrr)	1	17	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?

678e_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: 176

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	44	50
Pink flowers (Rr)	2	88	81
White flowers (rr)	1	44	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?

4315_14a8

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	67
A–bb	1	62	63
aaB–	1	62	64
aabb	1	62	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 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

fefe_f222

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	72
Recessive phenotype (aa)	1	23	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?

bab5_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: 224

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	56	56
Pink flowers (Rr)	2	112	100
White flowers (rr)	1	56	68

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

f6c5_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: 196

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	49	43
Pink flowers (Rr)	2	98	101
White flowers (rr)	1	49	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?

3a98_a236

Your lab partner is trying again (eye roll).

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

Total offspring scored: 168

Observed data
Category	Ratio	Expected	Observed
A–B–	1	42	37
A–bb	1	42	51
aaB–	1	42	45
aabb	1	42	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 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

13b8_daac

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	48
A–bb	1	51	51
aaB–	1	51	62
aabb	1	51	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. 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

8a2e_06ec

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	48
Green Round (yyR–)	3	33	31
Green Wrinkled (yyrr)	1	11	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?

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

e31b_506b

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	160
Yellow Wrinkled (Y–rr)	3	54	60
Green Round (yyR–)	3	54	49
Green Wrinkled (yyrr)	1	18	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?

f534_daac

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	59
A–bb	1	54	51
aaB–	1	54	56
aabb	1	54	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?

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

b48a_9646

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	52
A–bb	1	53	53
aaB–	1	53	57
aabb	1	53	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?

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 They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

720f_4da1

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	144
Yellow Wrinkled (Y–rr)	3	48	42
Green Round (yyR–)	3	48	46
Green Wrinkled (yyrr)	1	16	24

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 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

9a84_1ac0

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	64
A–bb	1	64	62
aaB–	1	64	66
aabb	1	64	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 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

f8fd_0884

Your lab partner is trying again (eye roll).

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

Total offspring scored: 104

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	78	77
Recessive phenotype (aa)	1	26	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?

93b0_a236

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	139
Yellow Wrinkled (Y–rr)	3	45	56
Green Round (yyR–)	3	45	35
Green Wrinkled (yyrr)	1	15	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?

d760_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	167
Yellow Wrinkled (Y–rr)	3	54	49
Green Round (yyR–)	3	54	61
Green Wrinkled (yyrr)	1	18	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?

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

7f10_1a99

Your lab partner is trying again (eye roll).

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

Total offspring scored: 304

Observed data
Category	Ratio	Expected	Observed
A–B–	1	76	75
A–bb	1	76	71
aaB–	1	76	85
aabb	1	76	73

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 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

33eb_06ec

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	125
Yellow Wrinkled (Y–rr)	3	45	47
Green Round (yyR–)	3	45	46
Green Wrinkled (yyrr)	1	15	22

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 They used the wrong expected ratio in the hypotheses. Incorrect Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

61bf_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	159
Yellow Wrinkled (Y–rr)	3	54	55
Green Round (yyR–)	3	54	59
Green Wrinkled (yyrr)	1	18	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?

2c19_2917

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	112
Recessive phenotype (aa)	1	36	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?

73e8_626a

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:

What is the main problem with their hypotheses?

32a3_06ec

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	141
Yellow Wrinkled (Y–rr)	3	45	40
Green Round (yyR–)	3	45	49
Green Wrinkled (yyrr)	1	15	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?

f7ba_0884

Your lab partner is trying again (eye roll).

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

Total offspring scored: 316

Observed data
Category	Ratio	Expected	Observed
A–B–	1	79	73
A–bb	1	79	76
aaB–	1	79	83
aabb	1	79	84

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

9641_2917

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	47
A–bb	1	46	52
aaB–	1	46	55
aabb	1	46	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?

0fc4_1ac0

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	132
Yellow Wrinkled (Y–rr)	3	45	45
Green Round (yyR–)	3	45	51
Green Wrinkled (yyrr)	1	15	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?

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

d82d_e042

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	106
Recessive phenotype (aa)	1	34	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?

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

487b_717c

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?

27d2_717c

Your lab partner is trying again (eye roll).

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

Total offspring scored: 232

Observed data
Category	Ratio	Expected	Observed
A–B–	1	58	55
A–bb	1	58	57
aaB–	1	58	49
aabb	1	58	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?

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

f1db_626a

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	79
Recessive phenotype (aa)	1	23	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?

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 They incorrectly wrote the null hypothesis as an exact match (no random variation). Incorrect MC

6d7b_3ad3

Your lab partner is trying again (eye roll).

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

Total offspring scored: 236

Observed data
Category	Ratio	Expected	Observed
A–B–	1	59	74
A–bb	1	59	55
aaB–	1	59	46
aabb	1	59	61

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

3094_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: 212

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	53	49
Pink flowers (Rr)	2	106	110
White flowers (rr)	1	53	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 They incorrectly wrote the null hypothesis as an exact match (no random variation). Correct Nothing is wrong; the hypotheses are stated correctly. Incorrect MC

cd0a_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: 136

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	34	40
Pink flowers (Rr)	2	68	63
White flowers (rr)	1	34	33

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. Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

e8b1_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: 240

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	60	57
Pink flowers (Rr)	2	120	117
White flowers (rr)	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?

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

537f_06ec

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	101
Yellow Wrinkled (Y–rr)	3	36	46
Green Round (yyR–)	3	36	34
Green Wrinkled (yyrr)	1	12	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?

caea_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	93
Recessive phenotype (aa)	1	33	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 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

40cf_4d2f

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	80
A–bb	1	80	95
aaB–	1	80	67
aabb	1	80	78

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 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

5172_f222

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	172
Yellow Wrinkled (Y–rr)	3	60	62
Green Round (yyR–)	3	60	69
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?

2235_9646

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	116
Yellow Wrinkled (Y–rr)	3	42	49
Green Round (yyR–)	3	42	38
Green Wrinkled (yyrr)	1	14	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?

e208_4d2f

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	93
Yellow Wrinkled (Y–rr)	3	36	49
Green Round (yyR–)	3	36	32
Green Wrinkled (yyrr)	1	12	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?

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

839c_4d2f

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	80
Recessive phenotype (aa)	1	29	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?

88ce_d268

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	39
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?

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

f4f8_f222

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	41
A–bb	1	47	56
aaB–	1	47	42
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?

a551_88d6

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	87
Recessive phenotype (aa)	1	29	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?

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

cefc_06ec

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	60
A–bb	1	61	63
aaB–	1	61	65
aabb	1	61	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?

6542_3453

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	44
Green Round (yyR–)	3	45	49
Green Wrinkled (yyrr)	1	15	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?

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

cfc7_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	51
Pink flowers (Rr)	2	110	118
White flowers (rr)	1	55	51

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

9f34_eebc

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	54
A–bb	1	55	55
aaB–	1	55	48
aabb	1	55	63

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?

9785_7cfa

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?

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

388c_4b92

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	78
Recessive phenotype (aa)	1	25	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. 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

14a0_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: 144

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	36	30
Pink flowers (Rr)	2	72	67
White flowers (rr)	1	36	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?

d753_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: 208

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	52	58
Pink flowers (Rr)	2	104	93
White flowers (rr)	1	52	57

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

9a66_88d6

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	27
Green Round (yyR–)	3	30	36
Green Wrinkled (yyrr)	1	10	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?

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

e6ef_d268

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	101
Yellow Wrinkled (Y–rr)	3	33	31
Green Round (yyR–)	3	33	33
Green Wrinkled (yyrr)	1	11	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?

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

9b6a_1a99

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	62
Recessive phenotype (aa)	1	22	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?

cb86_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: 160

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	40	43
Pink flowers (Rr)	2	80	77
White flowers (rr)	1	40	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?

e081_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	43
A–bb	1	45	50
aaB–	1	45	38
aabb	1	45	49

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?

092e_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: 208

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	52	47
Pink flowers (Rr)	2	104	108
White flowers (rr)	1	52	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?

8edd_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	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 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

b8d0_3ad3

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	108
Yellow Wrinkled (Y–rr)	3	36	40
Green Round (yyR–)	3	36	36
Green Wrinkled (yyrr)	1	12	8

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 Nothing is wrong; the hypotheses are stated correctly. Incorrect They swapped the null and alternative hypotheses. Incorrect MC

7857_7cfa

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	70
Recessive phenotype (aa)	1	24	26

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?

76af_1ac0

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	76
Recessive phenotype (aa)	1	25	24

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?

6120_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	97
Recessive phenotype (aa)	1	35	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?

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

f67d_4b92

Your lab partner is trying again (eye roll).

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

Total offspring scored: 316

Observed data
Category	Ratio	Expected	Observed
A–B–	1	79	77
A–bb	1	79	82
aaB–	1	79	74
aabb	1	79	83

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?

88ba_3ad3

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	51
A–bb	1	49	45
aaB–	1	49	59
aabb	1	49	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?

89dc_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: 224

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	56	54
Pink flowers (Rr)	2	112	114
White flowers (rr)	1	56	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?

fecb_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: 220

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	55	60
Pink flowers (Rr)	2	110	104
White flowers (rr)	1	55	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 1:2:1 ratio.
H_A: The observed counts are not exactly in a 1:2:1 ratio.

What is the main problem with their hypotheses?

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

1eef_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: 144

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	36	33
Pink flowers (Rr)	2	72	78
White flowers (rr)	1	36	33

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?

76e9_506b

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?

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

3e3f_506b

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	68
Recessive phenotype (aa)	1	22	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?

9e13_d268

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	72
Recessive phenotype (aa)	1	25	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. 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

b646_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	109
Yellow Wrinkled (Y–rr)	3	39	49
Green Round (yyR–)	3	39	32
Green Wrinkled (yyrr)	1	13	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?

19b2_4d2f

Your lab partner is trying again (eye roll).

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

Total offspring scored: 108

Observed data
Category	Ratio	Expected	Observed
Dominant phenotype (A–)	3	81	78
Recessive phenotype (aa)	1	27	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?

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

6c7a_7cfa

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	99
Recessive phenotype (aa)	1	33	33

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

6a01_a236

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	92
Yellow Wrinkled (Y–rr)	3	33	35
Green Round (yyR–)	3	33	37
Green Wrinkled (yyrr)	1	11	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?

2370_06ec

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	25
Green Round (yyR–)	3	36	34
Green Wrinkled (yyrr)	1	12	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?

dec0_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: 200

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	50	48
Pink flowers (Rr)	2	100	104
White flowers (rr)	1	50	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 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

2701_1ac0

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: 124

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	31	29
Pink flowers (Rr)	2	62	64
White flowers (rr)	1	31	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?

7715_14a8

Your lab partner is trying again (eye roll).

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

Total offspring scored: 316

Observed data
Category	Ratio	Expected	Observed
A–B–	1	79	65
A–bb	1	79	94
aaB–	1	79	80
aabb	1	79	77

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?

ee67_1a99

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	64
A–bb	1	66	64
aaB–	1	66	60
aabb	1	66	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?

1334_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: 180

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	45	48
Pink flowers (Rr)	2	90	84
White flowers (rr)	1	45	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?

30ef_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: 180

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	45	41
Pink flowers (Rr)	2	90	91
White flowers (rr)	1	45	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?

d2aa_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: 128

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	32	35
Pink flowers (Rr)	2	64	62
White flowers (rr)	1	32	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?

c5c4_2917

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	73
A–bb	1	71	61
aaB–	1	71	70
aabb	1	71	80

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 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

6aea_626a

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	73
A–bb	1	74	80
aaB–	1	74	64
aabb	1	74	79

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?

cab4_012b

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	93
Recessive phenotype (aa)	1	31	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?

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

419d_4da1

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	137
Yellow Wrinkled (Y–rr)	3	45	52
Green Round (yyR–)	3	45	41
Green Wrinkled (yyrr)	1	15	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?

eaab_daac

Your lab partner is trying again (eye roll).

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

Total offspring scored: 304

Observed data
Category	Ratio	Expected	Observed
A–B–	1	76	65
A–bb	1	76	94
aaB–	1	76	83
aabb	1	76	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 1:1:1:1 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 incorrectly wrote the null hypothesis as an exact match (no random variation). Correct They used the wrong expected ratio in the hypotheses. Incorrect MC

10ed_3453

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	66
Recessive phenotype (aa)	1	21	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?

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

a91b_eebc

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	59
A–bb	1	53	48
aaB–	1	53	48
aabb	1	53	57

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?

0c4c_717c

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	65
aaB–	1	68	68
aabb	1	68	73

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?

d76c_717c

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	70
A–bb	1	68	74
aaB–	1	68	63
aabb	1	68	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?

fbbd_14a8

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	52
A–bb	1	56	55
aaB–	1	56	60
aabb	1	56	57

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?

029a_f222

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	59
A–bb	1	53	50
aaB–	1	53	54
aabb	1	53	49

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?

ead1_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: 212

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	53	64
Pink flowers (Rr)	2	106	104
White flowers (rr)	1	53	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?

bd28_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: 124

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	31	29
Pink flowers (Rr)	2	62	66
White flowers (rr)	1	31	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?

aca8_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: 172

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

db9d_4da1

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	61
Recessive phenotype (aa)	1	21	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?

4fd4_06ec

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	38
Green Round (yyR–)	3	36	46
Green Wrinkled (yyrr)	1	12	6

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?

d072_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: 192

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	48	52
Pink flowers (Rr)	2	96	91
White flowers (rr)	1	48	49

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?

b7f7_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	58
Pink flowers (Rr)	2	116	122
White flowers (rr)	1	58	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 1:2:1 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

43c3_eebc

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	186
Yellow Wrinkled (Y–rr)	3	60	59
Green Round (yyR–)	3	60	49
Green Wrinkled (yyrr)	1	20	26

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?

b0a9_f222

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	49
A–bb	1	46	41
aaB–	1	46	46
aabb	1	46	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?

ade2_e042

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	44
A–bb	1	54	61
aaB–	1	54	57
aabb	1	54	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 1:1:1:1 ratio.
H_A: The observed counts are not exactly in a 1:1:1:1 ratio.

What is the main problem with their hypotheses?

f1d2_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	112
Yellow Wrinkled (Y–rr)	3	36	33
Green Round (yyR–)	3	36	38
Green Wrinkled (yyrr)	1	12	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?

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

f745_1ac0

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	36
Pink flowers (Rr)	2	78	82
White flowers (rr)	1	39	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?

36b1_506b

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	99
Recessive phenotype (aa)	1	34	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?

da98_9646

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	100
Recessive phenotype (aa)	1	32	28

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 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

aff7_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	50
Pink flowers (Rr)	2	96	89
White flowers (rr)	1	48	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?

43ce_626a

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	120
Recessive phenotype (aa)	1	38	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?

a7cb_9646

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	200
Yellow Wrinkled (Y–rr)	3	60	55
Green Round (yyR–)	3	60	49
Green Wrinkled (yyrr)	1	20	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?

084b_3ad3

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	77
Recessive phenotype (aa)	1	25	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?

dac9_88d6

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	55
A–bb	1	47	37
aaB–	1	47	49
aabb	1	47	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?

e6ee_f222

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	61
Recessive phenotype (aa)	1	23	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?

4d9f_e042

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:

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?

1f3e_0884

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	104
Yellow Wrinkled (Y–rr)	3	39	49
Green Round (yyR–)	3	39	44
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?

1a50_626a

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	132
Yellow Wrinkled (Y–rr)	3	42	39
Green Round (yyR–)	3	42	31
Green Wrinkled (yyrr)	1	14	22

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?

e95f_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: 152

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	38	35
Pink flowers (Rr)	2	76	81
White flowers (rr)	1	38	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 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?

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 They swapped the null and alternative hypotheses. Incorrect MC

4ac6_a236

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	128
Yellow Wrinkled (Y–rr)	3	42	43
Green Round (yyR–)	3	42	31
Green Wrinkled (yyrr)	1	14	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?

9483_1a99

Your lab partner is trying again (eye roll).

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

Total offspring scored: 304

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	171	179
Yellow Wrinkled (Y–rr)	3	57	59
Green Round (yyR–)	3	57	48
Green Wrinkled (yyrr)	1	19	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?

c2f7_4da1

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	115
Recessive phenotype (aa)	1	40	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?

d25a_3ad3

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	67
A–bb	1	67	66
aaB–	1	67	60
aabb	1	67	75

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?

672c_e042

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	151
Yellow Wrinkled (Y–rr)	3	45	44
Green Round (yyR–)	3	45	31
Green Wrinkled (yyrr)	1	15	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?

5680_88d6

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	50
A–bb	1	49	49
aaB–	1	49	48
aabb	1	49	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?

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 They swapped the null and alternative hypotheses. Incorrect MC

667f_506b

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	79
A–bb	1	68	60
aaB–	1	68	68
aabb	1	68	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?

4fdd_2917

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	73
Recessive phenotype (aa)	1	23	19

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?

65a0_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: 188

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	47	43
Pink flowers (Rr)	2	94	89
White flowers (rr)	1	47	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 1:2:1 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

12dd_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	78
Yellow Wrinkled (Y–rr)	3	30	33
Green Round (yyR–)	3	30	36
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?

90b4_506b

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	91
Recessive phenotype (aa)	1	33	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?

f9d9_eebc

Your lab partner is trying again (eye roll).

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

Total offspring scored: 236

Observed data
Category	Ratio	Expected	Observed
A–B–	1	59	52
A–bb	1	59	82
aaB–	1	59	48
aabb	1	59	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?

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

f348_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	116
Recessive phenotype (aa)	1	36	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?

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

83a1_e042

Your lab partner is trying again (eye roll).

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

Total offspring scored: 176

Observed data
Category	Ratio	Expected	Observed
A–B–	1	44	35
A–bb	1	44	50
aaB–	1	44	40
aabb	1	44	51

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?

ca6c_7cfa

Your lab partner is trying again (eye roll).

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

Total offspring scored: 176

Observed data
Category	Ratio	Expected	Observed
A–B–	1	44	44
A–bb	1	44	48
aaB–	1	44	38
aabb	1	44	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?

a445_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: 148

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	37	39
Pink flowers (Rr)	2	74	73
White flowers (rr)	1	37	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?

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

b442_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: 236

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	59	52
Pink flowers (Rr)	2	118	121
White flowers (rr)	1	59	63

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?

fb2b_d268

Your lab partner is trying again (eye roll).

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

Total offspring scored: 304

Observed data
Category	Ratio	Expected	Observed
Yellow Round (Y–R–)	9	171	163
Yellow Wrinkled (Y–rr)	3	57	49
Green Round (yyR–)	3	57	64
Green Wrinkled (yyrr)	1	19	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 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

d610_88d6

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	60
A–bb	1	53	49
aaB–	1	53	53
aabb	1	53	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?

66c2_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	98
Yellow Wrinkled (Y–rr)	3	30	31
Green Round (yyR–)	3	30	23
Green Wrinkled (yyrr)	1	10	8

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?

230d_eebc

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	109
Recessive phenotype (aa)	1	34	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?

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

376c_626a

Your lab partner is trying again (eye roll).

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

Total offspring scored: 176

Observed data
Category	Ratio	Expected	Observed
A–B–	1	44	38
A–bb	1	44	58
aaB–	1	44	38
aabb	1	44	42

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?

6caf_3453

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	116
Yellow Wrinkled (Y–rr)	3	42	41
Green Round (yyR–)	3	42	50
Green Wrinkled (yyrr)	1	14	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?

ec82_717c

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	78
A–bb	1	74	79
aaB–	1	74	76
aabb	1	74	63

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 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

e209_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	53
Pink flowers (Rr)	2	120	131
White flowers (rr)	1	60	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?

19bc_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: 140

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	35	30
Pink flowers (Rr)	2	70	81
White flowers (rr)	1	35	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?

9f82_3ad3

Your lab partner is trying again (eye roll).

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

Total offspring scored: 236

Observed data
Category	Ratio	Expected	Observed
A–B–	1	59	51
A–bb	1	59	62
aaB–	1	59	66
aabb	1	59	57

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?

a6b3_f222

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	56
A–bb	1	53	50
aaB–	1	53	54
aabb	1	53	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?

2fbd_a236

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	41
A–bb	1	49	54
aaB–	1	49	46
aabb	1	49	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?

6a84_d268

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	65
Recessive phenotype (aa)	1	21	19

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 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

b1ce_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	113
Yellow Wrinkled (Y–rr)	3	30	16
Green Round (yyR–)	3	30	26
Green Wrinkled (yyrr)	1	10	5

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?

9ce0_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: 200

Observed data
Category	Ratio	Expected	Observed
Red flowers (RR)	1	50	46
Pink flowers (Rr)	2	100	97
White flowers (rr)	1	50	57

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?