NUM

bab8_39a6

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

6.3
6.9
8.9
8.4
6.9
7.4
8.1
8.7
8.3
7.4
7.4
8.1
7.7
8.7
5.8
7.6
7.8
8.5
8.8
7.2
7.8
6.9
8.0
7.8
9.5

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.16190304 0.00160000 NUM

123a_c728

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.7
7.9
7.4
8.4
7.6
8.1
9.2
8.8
7.7
9.4
6.7
7.8
6.2
9.5
8.2
6.5
7.9
7.8
4.6
8.0
6.8
9.7
4.6
8.4
10.1
8.1
9.4
7.1
6.7
9.7
7.0
9.3

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.05850827 0.00100000 NUM

e51b_6352

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.4
4.2
6.1
8.8
9.7
9.6
7.4
10.1
10.1
7.2
8.4
6.9
6.8
7.7
6.7
8.0
7.6
9.4
8.4
8.2
7.7
6.6
8.1
8.2
6.5
9.9
6.7
6.3
8.7
8.0
7.8
6.5
7.0
6.3
8.6
6.4
7.9
4.7

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.23768339 0.00240000 NUM

158b_00cc

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

4.8
8.8
9.0
9.4
7.0
7.0
7.3
6.4
7.5
9.3
8.2
7.1
8.1
6.1
8.2
5.9
7.3
8.9
10.2
5.8
8.7
8.2
9.0
8.5
9.3
10.1
7.6
6.7
9.1

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.06869741 0.00100000 NUM

7d0c_913d

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

9.9
7.7
6.7
9.8
7.9
10.4
6.0
9.2
10.2
8.7
7.4
9.4
6.8
7.1
7.0
7.7
5.3
7.8
8.7
4.9
7.1
6.8
5.3
7.8
5.9
5.1
9.1
8.6
8.9
5.8
9.5
8.7
7.6
8.0
7.3
4.3
8.5
8.9
9.4

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.17651107 0.00180000 NUM

7b45_01b0

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.3
5.7
10.0
5.6
7.6
6.2
11.6
9.8
9.9
6.2
7.4
7.3
7.3
8.8
8.2
5.7
8.4
6.6
5.8
5.4
6.7
6.8
10.7
7.1
6.9
8.5

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.32361837 0.00320000 NUM

85ae_2de0

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

7.8
7.1
7.3
6.6
9.4
10.3
10.8
7.9
5.0
7.7
10.7
5.6
7.4
8.9
8.6
10.5
6.8
5.5
5.5
8.7
6.6
10.2
9.9
10.3
7.1
9.0
5.8
5.7
8.6
7.1
5.8
5.7
4.1
8.6
4.9
8.9
8.8
6.8

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.22451496 0.00220000 NUM

3eca_b5b5

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

7.8
8.0
7.6
9.1
7.9
7.6
7.9
7.4
7.5
9.0
8.2
8.3
9.7
5.5
8.3
7.7
7.2
7.9
6.3
7.9
6.7
9.0
9.9
8.3
8.4
8.3
6.1

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.07907799 0.00100000 NUM

5426_cb92

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

6.0
8.3
5.3
5.8
8.9
7.6
6.1
8.3
10.2
6.6
8.4
7.3
6.3
8.5
8.4
8.0
5.5
6.3
7.3
9.1
10.0
6.1
7.7
8.5
5.9
7.7
9.4
9.7
9.4

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.26390123 0.00260000 NUM

3aad_42c7

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

5.7
6.9
7.8
9.3
8.0
9.4
8.0
7.6
8.5
6.9
8.9
7.5
7.9
8.5
7.9
8.6
4.4
8.8
7.8
7.5
7.2
6.8
8.7
6.2
7.5
9.6
7.7
8.9
9.5
5.4
4.7
11.2
7.1
7.2

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.16274010 0.00160000 NUM

d242_f225

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.6
6.6
7.7
5.8
6.2
8.2
10.3
9.0
6.9
9.3
7.7
8.0
9.4
7.3
7.5
5.9
6.5
6.4
7.8
9.3
9.0
7.2
7.5
7.0
7.7
5.4
5.8
8.9

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.35741924 0.00360000 NUM

ace6_bc49

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.4
10.4
5.7
9.1
8.2
6.4
11.8
6.7
6.0
7.6
7.2
7.0
9.4
8.4
9.6
4.3
7.3
9.6
5.5
8.1
7.7
7.4
6.2
5.3
8.1
9.7
8.1
7.0
10.3
8.5
10.6

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.05837607 0.00100000 NUM

25c8_694b

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.7
5.2
6.6
7.9
8.3
4.2
7.3
7.3
10.2
10.1
4.7
10.0
9.5
11.0
7.5
7.8
8.5
7.6
5.3
8.0
10.9
7.1
6.0
7.8
10.4
6.7
8.6
6.8

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.10385604 0.00100000 NUM

e689_e971

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

6.9
9.1
8.6
6.9
8.7
7.4
7.2
7.9
7.8
5.4
7.3
8.3
4.7
9.5
9.5
7.2
6.3
8.6
8.4
10.3
8.9
5.1
8.4
8.7
8.2
7.9
4.4
12.0
4.8
5.2

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.28777581 0.00290000 NUM

97d0_03b0

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

5.3
12.0
8.5
8.7
7.2
7.8
7.4
9.2
7.0
7.8
6.8
8.6
6.9
5.5
7.8
6.5
8.1
7.1
8.5
7.8
6.7
9.0
7.4
8.1
9.1
9.6
8.2
8.7
7.4
6.9

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.09849219 0.00100000 NUM

0e2a_1229

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

6.7
4.0
9.2
6.4
9.9
7.8
4.7
6.5
9.2
7.5
8.3
6.2
7.8
6.9
5.8
8.5
6.9
7.8
7.3
8.9
8.9
7.9
9.6
4.8
8.5
6.7
9.1
9.4

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.43991458 0.00440000 NUM

77a2_5e4c

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

9.3
8.7
8.3
6.7
10.8
6.9
8.5
7.6
6.5
8.0
8.2
4.6
7.5
9.5
10.3
7.3
8.1
6.6
8.3
6.1
4.7
6.5
7.5
9.8
6.0
8.3
4.0
7.7

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.38599504 0.00390000 NUM

90e8_c8a5

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.8
7.5
6.7
8.9
9.3
8.2
8.0
8.8
8.9
6.8
8.4
6.6
7.9
5.5
5.9
8.6
7.3
8.7
8.9
6.2
6.4
6.3
8.6
6.8
6.0
7.4
5.2

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.49488171 0.00490000 NUM

f483_1f04

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

9.9
6.1
9.4
8.3
7.0
8.4
8.7
10.0
4.7
8.7
5.4
5.8
8.4
10.1
7.5
8.5
8.8
6.9
6.7
8.5
7.5
6.9
7.3
6.0
6.3
9.3
8.3
7.7
7.9
7.1
7.9
9.4
6.9

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.15356668 0.00150000 NUM

ad0c_ba9c

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

7.8
7.6
8.2
9.5
4.6
8.4
7.0
7.2
10.0
8.4
7.8
11.9
7.4
4.7
6.3
8.3
10.4
6.6
9.1
5.3
5.7
6.4
8.6
6.0
9.2
8.3
9.6
7.0
6.4
6.1
8.0
9.1
6.6
7.6
7.9
5.7
7.1
7.1
5.8

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.40716078 0.00410000 NUM

9a3f_f4e7

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

7.2
8.1
7.3
6.1
7.7
8.5
6.0
8.9
9.5
7.5
10.3
9.3
7.9
7.0
8.7
7.6
8.7
9.5
8.3
5.0
5.8
9.1
9.9
5.6
8.1
7.3
10.4
7.7
8.3
5.5

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.07546557 0.00100000 NUM

fff6_eb0a

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

7.5
9.3
6.0
7.6
6.8
9.2
7.5
5.0
9.8
10.0
7.6
7.3
8.8
8.8
8.4
9.4
9.4
8.2
6.7
8.5
7.3
7.4
8.1
8.0
7.0
9.0
6.7

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.05027006 0.00100000 NUM

4d34_bc48

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.4
6.0
7.1
10.8
4.7
7.5
9.0
5.3
8.9
8.9
7.6
6.4
7.7
6.1
7.7
5.8
9.3
4.9
8.5
6.1
7.1
6.4
6.6
9.0
4.8
7.7
8.3
9.7
7.9
8.9
10.1
10.1
8.6

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.30480586 0.00300000 NUM

4ab4_49a0

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

10.3
10.4
7.0
6.9
8.3
8.4
6.9
7.8
7.8
7.6
9.9
7.5
8.9
7.7
5.8
9.9
9.0
8.3
6.9
6.7
10.9
6.9
5.2
5.5
4.0
7.2
8.4

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.16476018 0.00160000 NUM

04dc_434c

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

7.6
9.8
11.4
7.9
4.6
7.4
4.0
4.0
11.3
8.1
11.1
6.8
10.0
7.6
7.1
5.6
10.5
6.0
8.2
6.8
7.4
6.6
7.1
7.6
8.4
11.4
8.9
5.7
7.0
6.5

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.18387411 0.00180000 NUM

a9e0_b178

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

7.4
7.8
8.3
8.8
8.7
7.7
8.1
8.3
7.1
8.2
6.5
6.4
7.7
7.6
7.0
9.2
6.2
6.3
8.1
4.7
9.5
6.9
6.8
8.9
6.0
9.6
7.5
5.4
9.3
9.2
9.6
6.1

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.28181082 0.00280000 NUM

8222_f303

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

9.4
9.3
5.1
7.3
8.8
7.0
7.9
7.7
6.2
6.7
8.8
7.4
7.2
10.5
7.0
7.8
8.2
6.8
10.5
5.7
7.4
8.6
6.0
6.9
5.3
6.9
10.7

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.27753490 0.00280000 NUM

1699_5714

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

9.2
8.1
8.9
8.2
6.9
6.4
10.2
9.6
5.7
10.7
4.8
5.2
9.9
5.4
7.9
5.7
8.0
8.2
7.7
5.3
10.0
7.5
8.4
7.6
6.6
6.9
7.0
7.4
8.0

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.31461608 0.00310000 NUM

4e7e_07f9

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

6.7
8.1
6.0
6.9
6.4
7.4
8.5
9.6
10.2
7.6
8.7
8.2
7.1
5.7
10.7
8.9
5.8
10.2
9.3
5.4
6.9
6.7
4.7
6.0
7.2
6.2
8.9
5.6
7.5
8.6
9.5

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.37323799 0.00370000 NUM

c2c9_9997

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

5.2
6.2
5.8
8.5
10.0
10.5
6.5
7.9
6.9
7.0
7.1
8.8
9.1
7.6
8.2
9.5
9.5
8.2
8.9
7.6
7.9
9.4
8.4
5.7
7.7
9.3
9.5
9.3
5.4
9.2
6.7
7.3
5.6
7.4

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.07167151 0.00100000 NUM

f6c7_3463

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.7
8.2
9.1
5.9
6.7
8.7
6.5
10.9
7.2
7.7
5.0
8.0
10.1
6.7
6.6
8.2
7.5
9.3
5.7
5.8
7.8
7.5
9.0
8.1
7.4
5.9

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.33783426 0.00340000 NUM

2a63_b92b

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.4
8.8
6.3
8.7
8.7
7.0
8.1
6.6
7.0
7.2
10.9
6.3
5.8
8.3
7.1
7.8
8.2
7.4
8.6
7.5
8.2
8.4
7.6
7.7
7.8
9.1
9.2
9.1
6.5
5.3
8.3

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.13018298 0.00130000 NUM

891a_ef62

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

10.2
7.5
8.9
9.4
8.3
7.0
7.6
7.3
8.7
7.7
7.6
7.5
8.0
9.3
6.0
7.0
6.2
9.3
6.0
5.3
8.7
9.9
7.5
6.7
8.0
7.2
8.7
10.5

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.06528501 0.00100000 NUM

9da8_f188

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.6
7.0
4.4
8.1
6.0
9.2
8.9
6.8
5.7
8.8
6.1
6.9
11.3
10.2
7.8
6.1
9.0
8.4
11.7
6.2
4.8
7.3
6.2
7.9
5.4
5.9
9.3
6.2
7.4
7.9

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.47573612 0.00480000 NUM

fe20_bcb1

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.0
7.0
7.0
8.5
5.5
8.8
9.4
9.2
9.1
6.9
8.2
9.5
7.9
6.8
9.7
6.6
5.8
7.3
9.4
7.2
9.7
7.5
6.0
6.9
9.5

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.09341751 0.00100000 NUM

f6db_fcbc

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.1
9.6
9.8
7.0
7.5
8.2
7.1
9.7
7.8
8.9
7.7
7.0
6.5
8.0
7.1
7.4
8.2
6.2
7.1
9.4
7.1
10.0
7.1
7.3
4.6
8.6
8.7
7.5
7.8
7.0
8.3
7.6
7.4

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.12770491 0.00130000 NUM

8f79_1ab8

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

4.3
7.8
8.1
6.9
6.4
6.4
7.0
5.8
9.1
10.4
4.8
7.5
8.9
6.5
6.1
7.0
5.4
9.9
6.8
10.7
7.7
9.7
9.5
9.5
4.4
9.8
9.4
8.6
9.7
7.2
6.4
5.6
9.1
5.6
5.9

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.43732212 0.00440000 NUM

b38c_33dd

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

9.1
7.5
8.8
7.1
9.9
7.2
7.6
9.0
10.2
7.7
6.4
7.2
5.7
9.1
4.5
5.9
9.5
4.0
7.7
7.9
6.6
9.6
6.6
6.7
7.7
7.7
9.7

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.29943360 0.00300000 NUM

2843_5967

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

6.8
9.0
7.5
7.7
7.8
9.8
8.3
8.0
6.7
8.4
9.8
9.0
7.5
6.8
9.3
5.7
4.2
7.5
9.2
9.7
9.8
8.7
7.8
10.1
4.9
7.0
5.6
8.5
7.5

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.08469826 0.00100000 NUM

3889_6f02

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

5.6
5.8
7.8
7.2
9.6
8.8
5.6
6.7
7.7
6.2
9.4
7.1
6.8
9.4
10.5
8.5
10.7
6.1
7.3
5.5
6.8
7.2
8.1
9.7
7.6
10.3
6.4
7.9
8.5
8.6

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.15329216 0.00150000 NUM

b685_108b

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

6.2
9.8
6.4
7.8
8.6
8.4
7.4
7.6
5.9
7.2
6.6
6.8
6.5
9.7
6.0
6.7
9.9
10.1
9.1
7.0
7.6
9.2
5.7
4.0
7.0
8.8
8.1
9.5
6.3
7.6

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.38045336 0.00380000 NUM

0217_e18b

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

5.3
7.1
8.6
8.0
8.2
6.1
6.2
5.9
6.8
6.7
8.7
9.5
4.7
5.2
8.7
6.6
8.3
8.9
5.9
9.2
7.1
10.3
6.1
11.0
9.2
6.3
8.9
10.1
7.4

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.33240237 0.00330000 NUM

1e18_9b7f

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.3
6.7
8.2
6.8
7.9
10.1
6.1
8.4
7.4
6.8
5.9
10.0
7.9
10.3
8.3
6.4
8.3
7.4
7.9
5.7
8.7
6.2
9.1
7.7
8.1
10.8
5.6
6.1
7.0
7.9
10.4
8.9
8.3
7.9
5.2
7.7
4.7

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.20243509 0.00200000 NUM

a3f1_ed2e

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

5.5
8.2
6.2
5.5
4.0
7.2
8.1
9.0
8.3
7.6
7.6
9.5
8.4
5.6
6.3
7.2
8.6
8.3
8.0
5.1
6.3
7.7
9.0
8.6
9.4
6.1
7.4
9.1
9.6
9.5
9.6
6.0

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.38413910 0.00380000 NUM

9467_016c

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

9.7
6.8
6.1
7.3
8.7
6.8
8.0
10.0
8.5
9.8
8.8
7.0
8.6
7.8
7.0
5.7
8.0
7.9
7.5
5.8
7.5
9.9
8.4
6.5
7.6

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.13712374 0.00140000 NUM

950f_d816

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.9
7.5
8.0
8.2
7.5
7.6
8.2
8.5
7.1
6.8
6.9
7.7
10.0
8.0
7.1
6.9
7.7
7.7
7.7
6.2
6.4
4.1
12.0
5.5
9.3
6.8
6.3
8.5
7.6
9.3
8.4
7.0
7.9
9.1
7.8

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.19278156 0.00190000 NUM

d61d_7e8e

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

5.8
10.7
6.1
8.1
5.8
7.0
8.9
6.6
10.0
10.1
7.0
9.3
7.6
10.0
8.9
7.5
6.4
8.9
8.5
8.8
6.2
8.3
8.1
8.1
8.4
5.1
6.6
6.3
5.9
6.4
5.0
8.3
9.2

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.22882218 0.00230000 NUM

da36_5a39

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.1
7.7
8.3
6.8
6.2
7.9
6.8
7.2
6.6
9.2
9.9
5.2
8.2
7.4
7.7
8.7
8.4
8.6
10.4
5.4
11.0
6.3
9.8
8.1
7.6
6.6
7.2
8.1

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.11814940 0.00120000 NUM

eea9_e9c5

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

8.8
7.4
7.0
6.9
8.3
5.3
8.5
7.3
8.0
6.6
8.0
6.1
7.8
10.9
8.7
6.4
7.8
5.6
6.7
8.1
6.3
9.4
8.5
7.6
6.1
7.6
8.2
9.5
6.6
6.8

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.41329035 0.00410000 NUM

3284_4114

One-Sample z-Test: Joe's Hospital vs. National Average

Setup

Use a one-tailed (right-tail) Z-test for the alternative hypothesis, Ha: μhospital > μ.

Fixed population values: μ = 7.5 lbs, σ = 1.5 lbs.

Test whether the population mean birth weight at Joe's hospital is greater than the national average.

Sample data

Sample weights (lbs):

7.8
8.4
4.6
9.1
9.4
8.6
9.2
8.7
8.6
10.4
8.6
8.1
7.7
7.3
8.1
7.4
6.5
8.7
9.4
9.5
8.9
6.8
7.2
5.6
6.3
6.4
7.7
6.9
8.4
5.8
9.1
5.5
6.8
9.2
7.0
8.2

Procedure

Enter the sample weights into a single column in Google Sheets.

Compute the one-tailed p-value using the tutorial workflow from last week: link here.

Result to report

Enter the one-tailed (right-tail) p-value as a decimal between 0 and 1 (for example, 0.084, not 8.4%).

Consider whether you would reject or fail to reject the null hypothesis, H0, at the stated significance level.

0.09304708 0.00100000