R5.25. Insulin and diet A study published in the Journal of theAmerican Medical Association examined people to see ifthey showed any signs of IRS (insulin resistance syndrome)involving major risk factors for Type 2 diabetes and heartdisease. Among 102 subjects who consumed dairy productsmore than 35 times per week, 24 were identified with IRS.In comparison, IRS was identified in 85 of 190 individualswith the lowest dairy consumption, fewer than 10 times perweek.a) Is this strong evidence that IRS risk is different in peoplewho frequently consume dairy products than in thosewho do not?b) Does this prove that dairy consumption influences thedevelopment of IRS? Explain.

The question is about hypo. testing for difference between two prop. Given : No. of subjects who…

Answered: R5.25. Insulin and diet A study…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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An official of a large car manufacturing company wanted to study the relationship between an employee's age and the number of absences. For this, a random sample of 10 randomly selected employees was collected and the following data was obtained. The material: age 40 28 34 27 21 38 19 55 31 35 number of absences 1 6 6 9 12 4 13 2 5 3 (a) Predict the number of absenteeism for a 42-year-old employee.(b) Determine the 95% prediction interval for the number of absences for the employee in (a).
#32). Please show work and answers, need to see how it’s done. Thank you!
Vitamin E and the Risk of Prostate Cancer: Klien et al (2011) conducted the following study to determine the effect of vitamin E and selenium treatment on the risk of developing prostate cancer in healthy men. A total of 34,887 men from different study sites in the United States, Canada, and Puerto Rico were randomly selected. To be eligible to participate, the men had to take a rectal examination that showed he was not suspicious of having prostate cancer and be aged 50 years or older for black men and 55 years or older for all others. Each man was randomly assigned to receive one of four treatments: selenium, vitamin E, selenium and vitamin E together, or a placebo. The men were followed up after 8 years to see if they had developed prostate cancer or not. The main question of interest is to determine if the risk of developing prostate cancer differs by the treatment taken. The data are summarized in the table below: No Prostate Cancer Prostate Cancer Total Selenium 8,752 8,737 8,702…
We are interested in comparing the proportions of men and women who say earning a large salary is very important to them. You surveyed 200 men and 200 women and recorded their answers to the question as “yes” (earning a large salary is very important) or “no” (earning a large salary is not very important). Yes No Total Men 150 50 200 Women 110 90 200 Total 260 140 400 Test the association between sex and the importance of earning a large salary using a z-test. Provide the null and alternative hypotheses, test statistic, p-value, and conclude test with 0.01 signifigance.
9.15 HPV infections in women. Human papillomavirus (HPV) infection is the most common sexually transmitted infection. Certain types of HPV can cause genital warts in both men and women and cervical cancer in women. The U.S. National Health and Nutrition Examination Survey (NHANES) contacted a representative sample of 1921 women between the ages of 14 and 59 years and asked them to provide a self-collected vaginal swab specimen. Of these specimens, 515 tested positive for HPV, indicating a current HPV infection. a. Give the probability, risk, and odds that a randomly selected American woman between the ages of 14 and 59 years has a current HPV infection. b. The survey broke down the data by age group: Age group (years) 14–19 20-24 25–29 30–39 40-49 50–59 Percent HPV positive 24.5 44.8 27.4 27.5 25.2 19.6 Give the risk and the odds of being HPV positive for women in each age group. Which age group has the highest risk, and has the highest odds, of testing positive for HPV?
State the hypotheses for each of the three separate tests included in the two-factor ANOVA.
A team of epidemiologists at the Mayo Clinic wanted to find whether there is an association between obesity and cardiovascular disease (CVD). They conducted a prospective cohort study following obese and non-obese individuals who were free of CVD at the beginning of study for five years. The investigators were also interested in assessing age as a potential confounder, effect modifier, or both. Use the data below to answer the accompanying questions. CVD No CVD Total Obese 10 90 100 Not Obese 35 465 500 Total 45 555 600 CVD No CVD Total Obese 36 164 200 Not Obese 25 175 200 Total 61 339 400 1. Compute the appropriate measure of association for those who were less than age 50. 2. Compute the appropriate measure of association for those who were older or equal to age 50. 3. Compute the crude measure of association? 4. List three attributes that age must satisfy before it could…

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