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A 2009 study analyzed data from the National Longitudinal Study of Adolescent Health. Participants were followed into adulthood. Each study participant was categorized as to whether they were obese (BMI >30) or not and whether they were dating, cohabiting, or married. The researchers were trying to determine the effect of relationship status on obesity. The table below summarizes the results. Dating Cohabiting Married Total Obese 81 103 147 331 Not obese 359 326 277 962 Total 440 429 424 1,293 In this example, which of the following would it be appropriate to calculate? O Conditional row percentages O The five-number summary of both variables O Conditional column percentages O The correlation coefficient G)

A 2009 study analyzed data from the National Longitudinal Study of Adolescent Health. Participants were followed into adulthood. Each study participant was categorized as to whether they were obese (BMI >30) or not and whether they were dating, cohabiting, or married. The researchers were trying to determine the effect of relationship status on obesity. The table below summarizes the results. Dating Cohabiting Married Total Obese 81 103 147 331 Not obese 359 326 277 962 Total 440 429 424 1,293 In this example, which of the following would it be appropriate to calculate? O Conditional row percentages O The five-number summary of both variables O Conditional column percentages O The correlation coefficient G)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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A 2009 study analyzed data from the National Longitudinal Study of Adolescent Health. Participants were followed into adulthood. Each study participant was categorized as to whether they were obese (BMI >30) or not and whether they were dating, cohabiting, or married. The researchers were trying to determine the effect of relationship status on obesity. The table below summarizes the results. Dating Cohabiting Married Total Obese 81 103 147 331 Not obese 359 326 277 962 Total 440 429 424 1,293 In this example, which of the following would it be appropriate to calculate? Conditional row percentages O The five-number summary of both variables O Conditional column percentages O The correlation coefficient (r)
Transcribed Image Text:A 2009 study analyzed data from the National Longitudinal Study of Adolescent Health. Participants were followed into adulthood. Each study participant was categorized as to whether they were obese (BMI >30) or not and whether they were dating, cohabiting, or married. The researchers were trying to determine the effect of relationship status on obesity. The table below summarizes the results. Dating Cohabiting Married Total Obese 81 103 147 331 Not obese 359 326 277 962 Total 440 429 424 1,293 In this example, which of the following would it be appropriate to calculate? Conditional row percentages O The five-number summary of both variables O Conditional column percentages O The correlation coefficient (r)
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