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19.14 In a classic study, Milgram et al. lost stamped envelopes with fictitious addresses (Medical Research Association, Pe

Question: Answer: Step 1 Step 2 Using the .05 level of significance, test the null hypothesis that address does not matter in

Step 6 What is your interpretation of the decision in relation to the original research problem? Specify the approximate p-va

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Answer #1

The research problem is:

The address does not matter in the underlying population.

The hypothesis being tested is:

H0: Address does not matter in the underlying population

Ha: Address matters in the underlying population

Col 1   Col 2   Total  
Row 1 Observed   72 28 100
Expected   48.25 51.75 100.00
O - E   23.75 -23.75 0.00
(O - E)² / E   11.69 10.90 22.59
Row 2 Observed   71 29 100
Expected   48.25 51.75 100.00
O - E   22.75 -22.75 0.00
(O - E)² / E   10.73 10.00 20.73
Row 3 Observed   25 75 100
Expected   48.25 51.75 100.00
O - E   -23.25 23.25 0.00
(O - E)² / E   11.20 10.45 21.65
Row 4 Observed   25 75 100
Expected   48.25 51.75 100.00
O - E   -23.25 23.25 0.00
(O - E)² / E   11.20 10.45 21.65
Total Observed   193 207 400
Expected   193.00 207.00 400.00
O - E   0.00 0.00 0.00
(O - E)² / E   44.82 41.79 86.62
86.62 chi-square
3 df
1.17E-18 p-value
7.815 critical value

The df is 3.

The critical value is 7.815.

The value of X2 is 86.62.

The p-value is 0.0000.

Since the p-value (0.0000) is less than the significance level (0.05), we can reject the null hypothesis.

Therefore, we can conclude that address matters in the underlying population.

Effect size = √X2/nt = √86.62/400*1 = 0.465

This is a very large effect size.

Odds ratio = [143/(143+57)]/(50/(50+150)] = 2.86

Please give me a thumbs-up if this helps you out. Thank you!

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