Q 1: Were the groups in this study independent or dependent? Provide a rationale for your answer.
Q 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.
Q 3: Is t ’ –1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this
study.
Q 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 signifi cant? Provide a rationale for your answer.
Q 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?
Q 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.
Q7: Should a Bonferroni procedure be conducted in this study? Provide a rationale for your answer.
Q 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.
Q 9: The authors reported multiple df values in Table VI. Why were different df values reported for this study?
Q 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