Assumptions in anova, Applied Statistics

Assumptions in ANOVA

  1. The various populations from which the samples are drawn should be normal and have the same variance. The requirement of normality can be discarded if the size of the sample is large enough.
  2. The analysis of variance is based on a comparison of two estimates of the population variance. One estimate is obtained from variance among the sample means and the second estimate is obtained from variation that exists within the samples.

 

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