For an ANOVA, when the null hypothesis is true, the F-ratio is balanced so that the numerator and the denominator are both measuring the same sources of variance. Question 15 options: True False
For an ANOVA, when the null hypothesis is true, the F-ratio is balanced so that the numerator and the denominator are both measuring the same sources of variance. Question 15 options: True False
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:For an ANOVA, when the null hypothesis is true, the F-ratio is
balanced so that the numerator and the denominator are both
measuring the same sources of variance.
Question 15 options:
True
False
Expert Solution

Step 1: Introduction
In an Analysis of Variance (ANOVA), when the null hypothesis is true, it means that there is no statistically significant difference between the group means being compared.
In this case, the F-ratio is not expected to be large or significant.
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