Dating CohabitingMarried =Research subjects were followedfrom adolescence to adulthood,and all the people in the samplewere categorized in terms ofwhether they were obese andwhether theywere dating, cohabiting, or married. Test the hypothesis that relationshipstatus and obesity are associated, using a significance level of 0.05. Canwe conclude from these data that living with someone is making somepeople obese and that marrying is making people even more obese? CanObese82100149Not350326273ObeseStep 2: PrepareWe choose the chi-square test of independence because the data were from one random sample in which the people were classified two different ways. We do not have a random sample or a random assignment, so we will test to see whether these results could easily have occurred by chance. Find the smallestexpected count and report it. Is it more than 5?The smallest expected count is , whichV more than 5.(Round to two decimal places as needed.)Report the level of significance.(Do not round.)Step 3: Compute to compareCalculate the chi-square test statistic.x2 = |(Round to two decimal places as needed.)Determine the p-value.p-value =(Round to three decimal places as needed.)Step 4: InterpretReject or do not reject the null hypothesis, and state what that means.O A. Fail to reject Ho and do not conclude that obesity and relationship status are associated.O B. Fail to reject Ho and conclude that obesity and relationship status are associated.C. Reject Ho and conclude that obesity and relationship status are associated.O D. Reject Ho and do not conclude that obesity and relationship status are associated.CausalityCan we conclude from these data that living with someone is making some people obese and that marrying is making people even more obese? Can we conclude that obesity affects relationship status? Explain why or why not.O A. Yes. Since the obesity rate is higher in cohabiting and married people, it can be concluded that marriage can cause obesity.O B. No. Although a relationship is evident, this is an observational study and cannot be used to prove causality.OC. No. Obesity rates actually decrease in cohabitating and married people.O D. Yes. Since cohabiting and married people have a higher rate of obesity, it is clear that being obese increases the chances of getting married.PercentagesFind and compare the percentages of obese people in the three relationship statuses.Dating =%Cohabiting =%Married =%

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Dating CohabitingMarried 149 273 Research subjects were followed from adolescence to adulthood, and all the people in the sample were categorized in terms of whether they were obese and whether they were dating, cohabiting, or married. Test the hypothesis that relationship status and obesity are associated, using a significance level of 0.05. Can we conclude from these data that living with someone is making some Obese 82 100 Not 350 326 Obese

Dating CohabitingMarried 149 273 Research subjects were followed from adolescence to adulthood, and all the people in the sample were categorized in terms of whether they were obese and whether they were dating, cohabiting, or married. Test the hypothesis that relationship status and obesity are associated, using a significance level of 0.05. Can we conclude from these data that living with someone is making some Obese 82 100 Not 350 326 Obese

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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