Solve the following

To examine the association between snoring and risk of developing type II diabetes mellitus, the authors analyzed data from the Nurses' Health Study cohort. This analysis included 69,852 US female nurses aged 40-65 years without diagnosed diabetes, cardiovascular disease, or cancer at baseline in 1986 when the study began. Snoring patterns were ascertained by questionnaire. During 10 years of follow-up, 1,957 women were diagnosed with type II diabetes. In analyses adjusted for age and body mass index, snoring was associated with risk of diabetes (for occasional snoring vs. nonsnoring, relative risk (RR) = 1.48 (95% confidence interval (CI): 1.29, 1.70); for regular snoring vs. nonsnoring, RR = 2.25 (95% CI: 1.91, 2.66); p for trend

2002;155:387-93.

The study was completed among a group of women who were all nurses. Which statement is true?

Group of answer choices

The study may not be generalizable to women who are not nurses.

All answer choices

The results may be subject to selection bias if women who are not nurses have a different snoring patterns and different rates of type II diabetes mellitus than nurses.

The study is not as generalizable as a study which included women of all professions.

Block introduction researcher investigates if the level of testosterone influences the level of risk-taking behaviour among adolescents. Risk-taking behaviour is measured on a 7 -po cale. his is an example of. Bivariate statistics with testosterone as dependent variable Univariate statistics with testosterone as independent variable Bivariate statistics with testosterone as independent variable Inivariate statistics with testosterone as dependent variable9. Consider the chi-square analyses we discussed in Unit 5. a. Describe how you determine expected values for a univariate chi-square test? (2 marks) b. How do you interpret a statistically significant univariate chi-square? Include formulae if needed. (5 marks) C. Describe how you determine the expected values for a bivariate chi-square test? (2 marks) d. How do you interpret a statistically significant bivariate chi-square? Include formulae if needed. (5 marks) e. Is the McNemar test a univariate or a bivariate chi-square analysis? (2 marks) Why? (2 marks) f. How do you determine the expected values for a McNemar test? (2 marks) Why are the expected values derived in this way? (3 marks) g. How is a statistically significant McNemar test interpreted? Include formulae if needed. (5 marks)Moving to another question will save this response. Question 21 An analysis between one independent variable and one dependent variable is known as Univariate Analysis Bivariate Analysis Moving to another question will save this response. C 26 aceariate Normal Distribution: Correlation Correlation of Bivariate Normal Random Variables If X and Y have a bivariate normal distribution with joint probability density function fxr(x, y, Gx, Gy, Hx, Hy, P), the correlation between X and Y is p. (5.23) For Bivariate Normal Random Variables Zero Correlation Implies Independence If X and Y have a bivariate normal distribution with p = 0, then X and Y are independent. (5.24)