NURS 6208 FINAL Project and guidelines

NURS 6208 FINAL Project and guidelines
I need some help with section I and II, I have section III mostly done 7 hrs from NOW
The project must be typewritten, double spaced and very limited in length (2-3 pages).
Part I (5 points)
A NP researcher randomly sampled 100 women aged 50-65 years and measured their minutes of exercise in the past week, BMI, and depression. Depression was measured using a Likert type scale consisting of 20 items. The summation score ranged from 20 to 100 and the higher the score, the higher the level of depression. The correlation coefficients (Pearsons rs) are summarized in the following table. For the analyses, statistical significant level was set at =0.05.
Table 1: correlation among minutes of exercise, BMI and depression

 
Exercise in past week (minutes)
BMI

BMI
-0.20
 

Depression score
-0.30 (P<0.05)
0.21

1. Write a research and null hypotheses regarding the relationship between exercise and depression.
2. Based on the test statistics in table 1, what is you conclusion regarding your research hypothesis? (Hint: discuss both the magnitude and direction of the relationship).
3. What proportion of variance is shared by minutes of exercise and depression among women 50-65 years of age?
4. For the relationship between minutes of exercise and BMI, what was the estimated power of the statistical test? (Using the power table on page 202, table 9.1, Polit 2010). What was the risk that a type II error was committed?
5. If -0.20 is a good estimation of population correction, what sample size would be needed to achieve power of 0.80 at =0.05?
PART II. (5 points)
Using the N6208 Final Project Data, select two variables with nominal or ordinal level measurements, and perform the descriptive statistics (frequency and percentage). [Please select only dichotomous variables from the following list:worknow, poverty, smoker, PoorHealth]. Then perform the bi-variate descriptive statistics using crosstabulation. Hand calculate the ARs, ARR, RR, and OR. Perform a chi-square analysis. Write a report with the following sections: