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Which of the following describes why effect size is important to research results? Effect size explains the degree to which a result is statistically significant. Effect size describes the magnitude of the statistical effect. Effect size limits variance and thus increases power. Effect size reduces the error of a hypothesis test.

Which of the following describes why effect size is important to research results? Effect size explains the degree to which a result is statistically significant. Effect size describes the magnitude of the statistical effect. Effect size limits variance and thus increases power. Effect size reduces the error of a hypothesis test.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 24PFA
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Which of the following describes why effect size is important to research results? Effect size explains the degree to which a result is statistically significant. Effect size describes the magnitude of the statistical effect. Effect size limits variance and thus increases power. Effect size reduces the error of a hypothesis test.
Transcribed Image Text:Which of the following describes why effect size is important to research results? Effect size explains the degree to which a result is statistically significant. Effect size describes the magnitude of the statistical effect. Effect size limits variance and thus increases power. Effect size reduces the error of a hypothesis test.
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