NURSING (POPULATION AND SAMPLE DISTRIBUTION)-2 - Assignment Example

Nursing (Population and Sample Distribution) – 2 Question Gender (man or woman) and marital status (single or living with a partner) were used as the independent variables in this analysis. Therefore, the groups in this study are independent. This is because the data was collected independently and it did not affect any other group in one way or another. Question #2t= -3.15 describes mental health variability. 0.02 is a significant number because it is so less than alpha number selected for this study (0.05). Question #3-1.

99 is significant, in this study because it falls in between the 1 tail percent of 0.025. This is because df is 169 and alpha level is 0.05. The value -0.99 progressively becomes more significant as this value becomes smaller and smaller from 0.05. Therefore, value -3.15 is also significant in this case. This is also supported by the research results that the Health Functioning variable being determined is a considerable cause for the differences between women and men in carrying out comparative analysis for social support, quality of life and perceived coping.

Question #4The t-ratio is significant because it indicates the difference between males and females. This is because the alpha value for the study was set at 0.05. Mental health was the largest variance between males and females with a value of -3.15. Question #5The data shows that t-ratio = -2.54 have a smaller p value that -2.50. This is an indication of a better health future for men, and women post MI physical roles and components, are highly interconnected and statistically noteworthy. Question #6Type 1 error results when the null hypothesis is rejected.

There is a risk of Type 1 error in this study because multiple t-tests were performed on the study data. Multiple t-tests increase the risk for Type 1 errors. Question #7Bonferroni procedure is necessary for this study because it reduces the risk for Type 1 error. A number of multiple t-tests were conducted on the study data that increased the risk for Type 1 data. Therefore, Bonifferoni procedure is required to reduce risk of Type 1 error.Question #80.05 (alpha) ÷ 15(number of t - tests conducted in a study) = 0.

0033( Bonferroni result ) = 0.05 (alpha) ÷ 15 (9) = 0.0033 (-3.15) =0.05alpha ÷ 135 = -0.010395 = 0.05alpha = - 1.403325 Alpha = - 1.353325Question #9df is the degree of freedom. A number of df values were reported, in the study, because they describe the freedom of different score’s values, in relation to other exiting scores’ values and sum of the scores.Question #10The differences between males and females post MI is significant. If this is consistent with the previous research, then I can assume that there will be a better health future for men, and women post MI physical roles and components will be highly interconnected and statistically noteworthy.