EXERCISE 29 Questions to be Graded

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.

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

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.

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?

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

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

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.

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

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?

EXERCISE 29 Questions to be Graded

1. Were the groups in this study independent or dependent? Provide a rationale for your answer. Two-factor analysis of variance was used with marital status that lived alone or with a partner and gender as independent variables as the data was collected independently and it did not affect each other in any sense.

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. Mental health variability is described by this variable. Significant number is 0.02 which is lesser than alpha number selected for this 0.05

3. Is t = −1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study. Value -1.99 is significant as it falls in the 1 tail percentage of 0.025. This is due to reason that alpha level is 0.05 and df level is 169. This value become more and more significant as the number gets smaller and smaller from 0.05. In this case -3.15 are also significant. The result is saying that the Health Functioning variable being measured is a significant cause for the differences between men and women in conducting comparative analysis for perceived coping, social support, and quality of life.

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, which was -3.15 had the largest difference between the males and females post MI in the study. The t ratio is significant because the they show the difference between both males and females and the alpha value was set at 0.05 for this study

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? By looking at the data t-ratio = -2.54 has smaller p value than -2.50. This show for the better health future of men and women post MI physical component and role are highly interconnected and statistically significant. Further understanding will come from reading the research study in more depth

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?