A body mass index (BMI) between 20 and 25 indicates a normal weight. In a random survey of 739 men and 736 women, it was

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A body mass index (BMI) between 20 and 25 indicates a normal weight. In a random survey of 739 men and 736 women, it was

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A Body Mass Index Bmi Between 20 And 25 Indicates A Normal Weight In A Random Survey Of 739 Men And 736 Women It Was 1
A Body Mass Index Bmi Between 20 And 25 Indicates A Normal Weight In A Random Survey Of 739 Men And 736 Women It Was 1 (125.55 KiB) Viewed 93 times
A body mass index (BMI) between 20 and 25 indicates a normal weight. In a random survey of 739 men and 736 women, it was found that 255 men and 252 women were normal weight. Construct a 95% confidence interval of the difference in the proportion of men and woman who are normal weight. Then interpret the interval. Note the subscripts m and w represent men and women, respectively. Therefore sample 1 is the men and sample 2 is the women. <Pm - Pw< Round each answer to 4 decimal places. Interpret this confidence interval. O With 95% confidence the interval calculated contains the difference of sample proportions of males and females who are normal weight. We are 95% confident that the point estimate for the the difference of males and females who are normal weight. With 95% confidence the interval calculated contains the difference of population proportions of males and females who are normal weight. There is a 95% probability that either a male or a female 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 males and females who are normal weight? Explain. yes, since the proportion of females cannot be negative no, since 0 is contained within our confidence interval no, since negative proportion of males make sense yes, since 0 is not contained within our confidence interval
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