Independently due to the data being collected independently

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. t = -3.15 describes mental health in this study. This is significant because mental health plays a big role in the outcome of MI patients.

3. Is t = −1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study. t = -1.99 describes health functioning. This is very significant. It is used to describe decline from illness or disease. It could solely explain change in quality of life post MI.

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.

Mental health revealed the largest difference between the males and females post MI in this study. This is significant because it truly reveals that men and women cope differently. I also believe this value would be inaccurate due to men being less likely to admit that they have mental health issues.

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?

-2.54 has the smaller p value at 0.007. It shows the health outcome between men and women.

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.

“A Type I error is defined as rejecting a true null hypothesis (not being a believer in the utility of testing point null hypotheses, what I really mean here is rejecting a null hypothesis that is so close to true that for practical purposes it is true)” (Wuensch, 1994). No there is not a type I error in this study. The two groups are significantly different.