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Women who are obese suffer social and economic consequences, a new study has shown. They are 20% less likely to marry, have household incomes that average $6,710 lower, and are 10% more likely to live in poverty. The findings are from a study of 10,039 randomly selected people who were 16 to 24 years old when the research began. 25. This study was based on A) B) D) BO D E 26. Does this study give strong evidence that being obese causes lower income? A) Yes, because the study included both people who were fat and people who were not. C) D) a randomized comparative experiment. a matched pairs experiment. E) a voluntary response sample. a probability sample. Yes, because the subjects in the study were selected at random. No, because the study showed that there is no connection between income and being fat. No, because people who are already poor may tend to overeat and/or get less exercise, which may make them more likely to be fat. No, because the people in the study were not blinded.

Women who are obese suffer social and economic consequences, a new study has shown. They are 20% less likely to marry, have household incomes that average $6,710 lower, and are 10% more likely to live in poverty. The findings are from a study of 10,039 randomly selected people who were 16 to 24 years old when the research began. 25. This study was based on A) B) D) BO D E 26. Does this study give strong evidence that being obese causes lower income? A) Yes, because the study included both people who were fat and people who were not. C) D) a randomized comparative experiment. a matched pairs experiment. E) a voluntary response sample. a probability sample. Yes, because the subjects in the study were selected at random. No, because the study showed that there is no connection between income and being fat. No, because people who are already poor may tend to overeat and/or get less exercise, which may make them more likely to be fat. No, because the people in the study were not blinded.

MATLAB: An Introduction with Applications
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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**Educational Insight: Understanding the Impacts of Obesity on Social and Economic Outcomes** Recent research highlights that women who are obese face significant social and economic challenges. Findings suggest these women are 20% less likely to marry, earn household incomes that are on average $6,710 lower, and have a 10% greater likelihood of living in poverty. This study involved 10,039 randomly selected participants aged 16 to 24 at the commencement of the research. ### Multiple Choice Analysis **Question 25: This study was based on:** A) A randomized comparative experiment. B) A matched pairs experiment. C) A voluntary response sample. D) A probability sample. **Question 26: Does this study provide strong evidence that being obese causes lower income?** A) Yes, because the study included both people who were fat and those who were not. B) Yes, because the subjects in the study were selected at random. C) No, because the study showed that there is no connection between income and being fat. D) No, because people who are already poor may tend to overeat and/or get less exercise, which may make them more likely to be fat. E) No, because the people in the study were not blinded. ### Analysis and Considerations The study uses a probability sample (D), indicating participants were chosen randomly, which can help provide a representative sample. However, it's important to consider that correlation does not imply causation. In question 26, while random selection (B) strengthens the study's reliability, it doesn't confirm causation between obesity and lower income. Options like (D) shed light on potential socioeconomic factors affecting obesity itself. The absence of blinding (E) may also affect bias and validity concerning causative conclusions.
Transcribed Image Text:**Educational Insight: Understanding the Impacts of Obesity on Social and Economic Outcomes** Recent research highlights that women who are obese face significant social and economic challenges. Findings suggest these women are 20% less likely to marry, earn household incomes that are on average $6,710 lower, and have a 10% greater likelihood of living in poverty. This study involved 10,039 randomly selected participants aged 16 to 24 at the commencement of the research. ### Multiple Choice Analysis **Question 25: This study was based on:** A) A randomized comparative experiment. B) A matched pairs experiment. C) A voluntary response sample. D) A probability sample. **Question 26: Does this study provide strong evidence that being obese causes lower income?** A) Yes, because the study included both people who were fat and those who were not. B) Yes, because the subjects in the study were selected at random. C) No, because the study showed that there is no connection between income and being fat. D) No, because people who are already poor may tend to overeat and/or get less exercise, which may make them more likely to be fat. E) No, because the people in the study were not blinded. ### Analysis and Considerations The study uses a probability sample (D), indicating participants were chosen randomly, which can help provide a representative sample. However, it's important to consider that correlation does not imply causation. In question 26, while random selection (B) strengthens the study's reliability, it doesn't confirm causation between obesity and lower income. Options like (D) shed light on potential socioeconomic factors affecting obesity itself. The absence of blinding (E) may also affect bias and validity concerning causative conclusions.
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