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A large restaurant contracts with a local laundry to wash white napkins. The laundry returns the napkins in bundles of one-hundred napkins. The restaurant randomly samples ten napkins from each bundle to make sure that the napkins are clean with no stains or other defects. By sampling only ten of the napkins, the restaurant may conclude that the all the napkins are clean and use the bundle, even when the napkins are actually dirty and should not be used. This sampling risk is called:
Cohen's D
An indicator of the magnitude of difference, displaying the standardized deviation between two averages.
Cohen's D
A measure of the size of an effect for a hypothesis test; it is the difference between two means divided by the standard deviation of the data.
Cohen's D
A statistic used to quantify the difference between two group means relative to the standard deviation of the sample.
Cohen's D
A measure of effect size that quantifies the difference between two group means in standard deviation units.
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