1- Were the groups in this study independent or dependent? Provide a rationale for your answer.

 

2- t –3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer.

 

3- Is t –1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study.

 

4- Examine the t ratios in Table VI. Which t ratio indicates the largest difference between the males and females post MI in this study? Is this t ratio significant? Provide a rationale for your answer.

 

5- Consider t –2.50 and t –2.54. Which t ratio has the smaller p value? Provide a rationale for your answer. What does this result mean?

 

6- What is a Type I error? Is there a risk of a Type I error in this study? Provide a rationale for your answer.

 

7- Should a Bonferroni procedure be conducted in this study? Provide a rationale for your answer.

 

8- If researchers conducted 9 t-tests on their study data. What alpha level should be used to determine significant differences between the two groups in the study? Provide your calculations.

 

9- The authors reported multiple df values in Table VI. Why were different df values reported for this study?

 

10- What does the t value for the Physical Component Score tell you about men and women post MI? If this result was consistent with previous research, how might you use this knowledge in your practice?