A 2013 Gallup poll asked randomly selected US adults whether they wanted to stay at their current body weight or change. One purpose was to investigate whether there was any difference between men and women with regard to this aspect. Of the 562 men surveyed, 242 wanted to stay at their current weight, whereas of the 477 women surveyed, 172 wanted to stay at their current weight. Q1. A p-value of 0.0264 was obtained for this data on the Two Proportions applet. Interpret this p-value in the context of the study. How much evidence do you have against the null hypothesis? Group of answer choices little to no evidence strong evidence very strong evidence moderate evidence   Q2 The difference between the proportions is 0.07 and the standard deviation of the difference is 0.031. (In other words, the statistic we are using is 0.07 and the standard deviation of that statistic is 0.031.) Use the 2SD method to find a 95% confidence interval for the parameter of interest.   Q3 Is your conclusion from using the p-value consistent with your finding from the 95% confidence interval? How are you deciding?

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Author:Amos Gilat
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A 2013 Gallup poll asked randomly selected US adults whether they wanted to stay at their current body weight or change. One purpose was to investigate whether there was any difference between men and women with regard to this aspect. Of the 562 men surveyed, 242 wanted to stay at their current weight, whereas of the 477 women surveyed, 172 wanted to stay at their current weight.

Q1. A p-value of 0.0264 was obtained for this data on the Two Proportions applet. Interpret this p-value in the context of the study. How much evidence do you have against the null hypothesis?

Group of answer choices

little to no evidence

strong evidence

very strong evidence

moderate evidence

 

Q2 The difference between the proportions is 0.07 and the standard deviation of the difference is 0.031. (In other words, the statistic we are using is 0.07 and the standard deviation of that statistic is 0.031.) Use the 2SD method to find a 95% confidence interval for the parameter of interest.

 

Q3 Is your conclusion from using the p-value consistent with your finding from the 95% confidence interval? How are you deciding? 

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