In: Statistics and Probability
Researchers are interested in comparing the depression scores (measured on a scale of 1-100) of patients diagnosed with clinical depression before and after they have participated in a new exercise regimen. They take a random sample of 5 people who report low levels of exercise and measure their depression scores. They then have these 5 patients complete a 4-week exercise regimen and measure their depression scores after the 4 weeks. Results of analysis are presented in the table below.
Participant ID | Depression score before the 4-week exercise regimen | Depression score before the 4-week depression exercise regimen |
A | 78 | 69 |
B | 87 | 82 |
C | 57 | 56 |
D | 62 | 63 |
E | 74 | 72 |
Your research question of interest is:
Is there a difference in the mean depression score of patients before and after they participate in the 4- week exercise regimen?
You are informed the estimated standard error of the mean differences (s) is 1.74
You will use the information above to complete the question parts below for a two related samples t-test.
Part A: Which of the following represents the appropriate null hypothesis (H0), given this research question of interest?
Part B: Which of the following represents the appropriate alternative hypothesis (H1), given this research question of interest?
Part C: Which of the following represents the appropriate critical value(s), testing at an alpha level (α) of 0.05?
Part D: What is the t-statistic associated with your test? (rounded to the nearest hundredth) - see note above for the value of the standard error of the mean differences.
Part E: Given your test results, what is your decision about the null hypothesis?
Part F: The best interpretation of the appropriate decision regarding the null hypothesis would be: "Based on our study, we (Have/Have not)
enough evidence to conclude that there appears to be a difference in the population mean depression score before and after a 4 week exercise regimen."