According to shopper data, 97% of households purchase toilet paper. An analyst believes this is too low. To investigate, the analyst selects a random sample of 500 households and finds that 98% of them purchase toilet paper. We found that we do not have convincing evidence at the α = 0.05 level to conclude that the true proportion of all households that purchase toilet paper differs from 0.97.It can be difficult to detect such a small difference, such as from 0.97 to 0.98, even if the difference exists.What can be done to increase the power of this test to reject 0.97 if 0.98 is true? Check all that apply. According to shopper data, 97% of households purchase What can be done to increase the power of this test totoilet paper. An analyst believes this is too low. Toinvestigate, the analyst selects a random sample of 500households and finds that 98% of them purchase toiletpaper. We found that we do not have convincingevidence at the a = 0.05 level to conclude that the trueproportion of all households that purchase toilet paperdiffers from 0.97.reject 0.97 if 0.98 is true? Check all that apply.increase adecrease aincrease ndecrease nIt can be difficult to detect such a small difference, suchas from 0.97 to 0.98, even if the difference exists.discard first results and select a separate randomsample of 500 households

Power of the test is the measure of the efficiency of the test which is given by the probability of…

Answered: According to shopper data, 97% of…

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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According to shopper data, 97% of households purchase toilet paper. An analyst believes this is too low. To investigate, the analyst selects a random sample of 500 households and finds that 98% of them purchase toilet paper. We found that we do not have convincing evidence at the α = 0.05 level to conclude that the true proportion of all households that purchase toilet paper differs from 0.97.

It can be difficult to detect such a small difference, such as from 0.97 to 0.98, even if the difference exists.

What can be done to increase the power of this test to reject 0.97 if 0.98 is true? Check all that apply.