Decide whether the following scenarios are example of type 1 error or type 2 error or neither? Use the traditional 0.05 cut-off for statistical significance. In reality people who work in a hospital are not more likely to get the flu. A study samples people who work at the hospital and other workers. It finds that the percentage of hospital workers with the flu is 17% and the proportion of other workers with the flu is 8%. The p-value for the difference between the two groups of workers is 0.04. Type 1 error Neither Type 2 error
Decide whether the following scenarios are example of type 1 error or type 2 error or neither? Use the traditional 0.05 cut-off for statistical significance. In reality people who work in a hospital are not more likely to get the flu. A study samples people who work at the hospital and other workers. It finds that the percentage of hospital workers with the flu is 17% and the proportion of other workers with the flu is 8%. The p-value for the difference between the two groups of workers is 0.04. Type 1 error Neither Type 2 error
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 8SGR
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Decide whether the following scenarios are example of type 1 error or type 2 error or neither? Use the traditional 0.05 cut-off for statistical significance.
In reality people who work in a hospital are not more likely to get the flu. A study samples people who work at the hospital and other workers. It finds that the percentage of hospital workers with the flu is 17% and the proportion of other workers with the flu is 8%. The p-value for the difference between the two groups of workers is 0.04.
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Type 1 error |
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Neither |
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Type 2 error |
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