Research subjects were followed from Dating Cohabiting Married adolescence to adulthood, and all the people in...

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Research subjects were followed from Dating Cohabiting Married adolescence to adulthood, and all the people in Obese 80 102 154 the sample were categorized in terms of whether Not Obese they were obese and whether they 358 322 273 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 people obese and that marrying is making people even more obese? Can we conclude that obesity affects relationship status? Explain. Ha: Obesity and relationship status have non-equal proportions. OC. Ho: Obesity and relationship status have a p-value of 0.05. Ha: Obesity and relationship status do not have a p-value of 0.05. D. Ho: Obesity and relationship status are associated. Ha: Obesity and relationship status are independent. Step 2: Prepare We 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 smallest expected count and report it. Is it more than 5? The smallest expected count is 36.87, which is more than 5. (Round to two decimal places as needed.) Research subjects were followed from Dating Cohabiting Married adolescence to adulthood, and all the people in Obese 80 102 154 the sample were categorized in terms of whether Not Obese they were obese and whether they 358 322 273 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 people obese and that marrying is making people even more obese? Can we conclude that obesity affects relationship status? Explain. Ha: Obesity and relationship status have non-equal proportions. OC. Ho: Obesity and relationship status have a p-value of 0.05. Ha: Obesity and relationship status do not have a p-value of 0.05. D. Ho: Obesity and relationship status are associated. Ha: Obesity and relationship status are independent. Step 2: Prepare We 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 smallest expected count and report it. Is it more than 5? The smallest expected count is 36.87, which is more than 5. (Round to two decimal places as needed.)