Question: A body mass index (BMI) between 20 and 25 indicates a normal weight. In a random survey of 797 people from Group A and 781

A body mass index (BMI) between 20 and 25 indicates a normal weight. In a random survey of 797 people from Group A and 781 people from Group B, it was found that 220 people from Group A and 213 people from Group B were normal weight. Construct a 90% confidence interval of the difference in the proportion of people from Group A and people from Group B who are normal weight. Then interpret the interval. Note the subscripts and represent people from Group A and people from Group B, respectively. Therefore sample 1 is the people from Group A and sample 2 is the people from Group B. < < Round each answer to 4 decimal places. Interpret this confidence interval. We are 90% confident that the point estimate for the the difference of people from Group A and Group B who are normal weight. There is a 90% probability that either a person from Group A or a person from Group B are normal weight. With 90% confidence the interval calculated contains the difference of sample proportions of people from Group A and people from Group B who are normal weight. With 90% confidence the interval calculated contains the difference of population proportions of Group A and Group B who are normal weight. If the two population proportions are the same, the difference between them will be zero. Does your confidence interval provide significant evidence for a difference of people from Group A and people from Group B who are normal weight? Explain. no, since 0 is contained within our confi

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