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Relative to a balanced ANOVA an unbalanced ANOVA: Is typically more sensitive to non-uniform variances Has a smaller power All of these answers are correct.  Does not have the same number of observations for each treatment  An important difference between fixed- and random-effects models is: Fixed-effects models have no variance Random-effects models provide a better estimate of the variance Random-effects models are more reliable Fixed-effects models apply only to the selected treatments

Relative to a balanced ANOVA an unbalanced ANOVA: Is typically more sensitive to non-uniform variances Has a smaller power All of these answers are correct.  Does not have the same number of observations for each treatment  An important difference between fixed- and random-effects models is: Fixed-effects models have no variance Random-effects models provide a better estimate of the variance Random-effects models are more reliable Fixed-effects models apply only to the selected treatments

MATLAB: An Introduction with Applications
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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Relative to a balanced ANOVA an unbalanced ANOVA:

  1. Is typically more sensitive to non-uniform variances
  2. Has a smaller power
  3. All of these answers are correct. 
  4. Does not have the same number of observations for each treatment 

An important difference between fixed- and random-effects models is:

  1. Fixed-effects models have no variance
  2. Random-effects models provide a better estimate of the variance
  3. Random-effects models are more reliable
  4. Fixed-effects models apply only to the selected treatments

 

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