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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

College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
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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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