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. The power of this test to reject p = 0.97 if 0.98 is true is 0.21. Interpret the power of this test. If the true proportion of households that purchase toilet paper is p = , there is a  probability that we will find convincing evidence for Ha: p > .

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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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.

The power of this test to reject p = 0.97 if 0.98 is true is 0.21. Interpret the power of this test.

If the true proportion of households that purchase toilet paper is p = , there is a  probability that we will find convincing evidence for Hap > .

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.

The power of this test to reject \( p = 0.97 \) if 0.98 is true is 0.21. Interpret the power of this test.

If the true proportion of households that purchase toilet paper is \( p = \_\_\_\_ \), there is a \_\_\_\_ probability that we will find convincing evidence for \( H_a: p > \_\_\_\_ \).
Transcribed Image Text: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. The power of this test to reject \( p = 0.97 \) if 0.98 is true is 0.21. Interpret the power of this test. If the true proportion of households that purchase toilet paper is \( p = \_\_\_\_ \), there is a \_\_\_\_ probability that we will find convincing evidence for \( H_a: p > \_\_\_\_ \).
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