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Author Question: The difference between an analysis of variance (ANOVA) and a multivariate analysis of variance ... (Read 135 times)

folubunmi

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on: Aug 4, 2018
The difference between an analysis of variance (ANOVA) and a multivariate analysis of variance (MANOVA) is
 
  A) in the independent variable(s).
  B) in the dependent variable(s).
  C) that ANOVA uses the F-test, whereas MANOVA uses the Mann-Whitney U-test.
  D) that MANOVA removes the effect of a powerful independent variable from the dependent measures.

Question 2

The analysis of covariance (ANCOVA) is generally useful for the
 
  A) removal of interaction effects.
  B) statistical removal of variability caused by extraneous variables.
  C) analyzing more than one independent variable.
  D) All of the above.


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leahm14

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Reply #1 on: Aug 4, 2018
Answer to Question 1

Answer: B

Answer to Question 2

Answer: B


folubunmi

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Reply 2 on: Aug 4, 2018
Great answer, keep it coming :)

ricroger

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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