An investigator wants to test the effectiveness of a new weight loss medication at reducing BMI (kg/m2). In order for the medication to have a high chance of receiving a sizeable investment, the mean difference in BMI must be greater than or equal to 5 kg/m2 in a pre/post test of BMI in participating individuals. Suppose the following table represents the results from a SRS of individuals enrolled in the study. Assume a normal approximation is acceptable.
Patient |
BMI Pre-Test (kg/m2) |
BMI Post-Test (kg/m2) |
A |
32.5 |
24.5 |
B |
34.8 |
26.3 |
C |
33.6 |
22.4 |
D |
31.7 |
23.7 |
E |
30.9 |
22.4 |
A) Is there sufficient evidence provided by the SRS to conclude that the medication is successful at reducing the overall BMI in the population by more than 5 kg/m2? (Use α=0.05)
B) Construct a 95% confidence interval, and provide an interpretation. Does your interval further support your decision in the hypothesis test above?
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