An investigator wants to test the claim that there is no difference of a new weight loss medication at reducing BMI (kg/m²). Suppose the following table represents the results from a SRS of individuals enrolled in the study. Assume a normal approximation is acceptable. (a=.01) Patient BMI pre test BMI post test 30.5 26.5 B 32.8 28.3 35.6 28.2 34.7 27.9 30.1 28.5 A) What type of t-test is this? B) Write our your null and alternative hypotheses C) Calculate a tstat
An investigator wants to test the claim that there is no difference of a new weight loss medication at reducing BMI (kg/m²). Suppose the following table represents the results from a SRS of individuals enrolled in the study. Assume a normal approximation is acceptable. (a=.01) Patient BMI pre test BMI post test 30.5 26.5 B 32.8 28.3 35.6 28.2 34.7 27.9 30.1 28.5 A) What type of t-test is this? B) Write our your null and alternative hypotheses C) Calculate a tstat
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
Transcribed Image Text:### Practice Problems:
An investigator wants to test the claim that there is no difference of a new weight loss medication at reducing BMI (kg/m²). Suppose the following table represents the results from a sample from a SRS of individuals enrolled in the study. Assume a normal approximation is acceptable. (α = 0.01)
| Patient | BMI pre test | BMI post test |
|---------|--------------|---------------|
| A | 30.5 | 26.5 |
| B | 32.8 | 28.3 |
| C | 35.6 | 28.2 |
| D | 34.7 | 27.9 |
| E | 30.1 | 28.5 |
#### A) What type of t-test is this?
#### B) Write out your null and alternative hypotheses
#### C) Calculate a t-stat
#### D) t-crit = ± _
#### E) p-value = _
#### G) Reject or Failed to reject the null hypothesis
#### H) Construct a 99% confidence interval and provide an interpretation. Does your interval further support your decision in the hypothesis test above?
### Explanation of the Table:
The table lists the Body Mass Index (BMI) values for five patients both before and after a test period, during which they were administered a new weight loss medication. The two columns labeled "BMI pre test" and "BMI post test" represent the measurements taken before and after the administration of the medication, respectively.
### Steps to Address Problems:
1. **Type of t-test:** Given the nature of the data (paired observations before and after treatment), a paired sample t-test is appropriate.
2. **Null and Alternative Hypotheses:**
- Null hypothesis (H₀): There is no difference in BMI before and after the treatment (µD = 0).
- Alternative hypothesis (H₁): There is a difference in BMI before and after the treatment (µD ≠ 0).
3. **Calculate a t-stat:** Use the differences between pre-test and post-test BMIs to calculate the test statistic.
4. **Critical t-value (t-crit):** Determine the critical value based on the t-distribution and degrees of freedom (n-1) at a significance level of 0.01.
5. **p-value:** Determine the probability that the
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