Asked by Tanesha Williams on Jul 07, 2024
Verified
A(n) ______ is a statistic that measures the magnitude of the relationship between variables.
A) statistical power
B) error variance
C) measure of effect size
D) within-group variability
Measure of Effect Size
A quantitative reflection of the magnitude of a difference or relationship, providing insight beyond simple significance tests.
Error Variance
Variability that cannot be explained or accounted for.
Statistical Power
The probability that a statistical test will correctly reject a false null hypothesis, or the test's sensitivity to detect an actual effect when there is one.
- Understand what effect size measures are and how they relate to the relationship between variables.
Verified Answer
SF
Savannah FoglioJul 10, 2024
Final Answer :
C
Explanation :
A measure of effect size is a statistic that quantifies the strength of the relationship between variables. Statistical power refers to the probability of correctly rejecting the null hypothesis when it is indeed false, and is not a direct measure of the relationship between variables. Error variance and within-group variability refer to factors that may affect the precision and accuracy of statistical analyses, but do not specifically measure the strength of the relationship between variables.
Learning Objectives
- Understand what effect size measures are and how they relate to the relationship between variables.