Exercise 29

9Name Brielle Cantagallo Class Statistics Date 3/17/13 ? bring 29 Questions to be Graded * 1. Were the groups in this study free or dependent? exit a symmetrynale for your answer. The groups in this study were independent because the two pay offs of data were not taken from the same subjects. The subjects were in adept group female and the second group male. * 2. t = ? 3. 15 describes the dispute among wo hands and men for what variable in this study? Is this pass judgment hearty? appropriate a symmetrynale for your answer. t= -3. 15 describes the inconsistency between men and women for the variable of mental wellness.This value is material because 0. 002 is less than the important type 1 error rate of 0. 05 that was utilise. * 3. Is t = ? 1. 99 significant? Provide a rationale for your answer. Discuss the meaning of this endant role in this study. t= -1. 99 is significant because it shows that the physical work and health functioning of both the men and women in t his study were almost the same crossways the board. The p value of 0. 049 was also the same in each of these variables last-place that the type 1 error rate for this was less than the alpha 0. 05 that was set for this study. * 4. Examine the t ratios in Table VI.Which t ratio indicates the largest deviance between the males and females send MI in this study? Is this t ratio significant? Provide a rationale for your answer. The t ratio that was the largest difference between males and females post MI in this study was mental health with -3. 15. This t ratio is significant because it shows that the mental health of the women versus the men in this study was the largest difference. * 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? T ratio -2. 54 had the smaller p value of 0. 007. -2. 0 had a p value of 0. 01. This result means that because the 0. 007 p value is less than the predetermine d alpha which was 0. 05 that the observed result would be highly unlikely under the unsatisfying hypothesis. Making this research credible. * 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 occurs when the researcher rejects the null hypothesis when it is in actuality true. I do believe that there was a type 1 error risk in this study because harmonise to the study 9 t tests were performed and the risk of type 1 errors increases when performed much than one time. 7. Should a Bonferroni performance be conducted in this study? Provide a rationale for your answer. I do believe that a Bonferroni procedure would need to be conducted in this study because the t test was conducted 9 times. * 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. The alpha level that should be used to determine the significant differences between the two groups in this study would be 0. 006. The alpha was set to 0. 05. That ineluctably to be divided by the 9 t tests and you get 0. 055 and when round becomes 0. 006 for the corrected alpha. * 9. The authors inform multiple df values in Table VI. why were different df values reported for this study? Different df values were reported in this study probably due to non participation in accredited study areas. Because of that they would have to change the df if the number of participants was different in those areas or the research would not be accurate. * 10. What does the t value for the Physical factor Score tell you ab turn out men and women post MI? If this result was consistent with previous research, how might you use this cognition in your coiffe?The t value -2. 50 for the physical component score tells me that men and women have a significant difference in their perception of post MI coping. Women perceive them selves has having lower physical and psychological quality of living post MI. If this result was consistent with previous research, I could use this knowledge to set up a plan of care to assist the women with change magnitude their physical and psychological aspects of quality of life. I would also reach out to women and form support groups to help them improve their perceptions on their quality of life.