Cohen’s d is most useful when we are trying to understand the results of a test of hypothesis with very large samples or with small samples: If a sample is very large, we may get a statistically significant result even if the effect size is __________. If a sample is very small, we may not get a statistically significant result even though the effect size is __________.

Cohen’s d is most useful when we are trying to understand the results of a test of hypothesis with very large samples or with small samples: If a sample is very large, we may get a statistically significant result even if the effect size is . If a sample is very small, we may not get a statistically significant result even though the effect size is .

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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