X hits on this document

Powerpoint document

One-way ANOVA Inference for one-way ANOVA - page 12 / 41

145 views

0 shares

0 downloads

0 comments

12 / 41

Checking our assumptions

The ANOVA F-test requires that all populations have the same standard deviation . Since is unknown, this can be hard to check.

Practically: The results of the ANOVA F-test are approximately correct when the largest sample standard deviation is no more than twice as large as the smallest sample standard deviation.

(Equal sample sizes also make ANOVA more robust to deviations from the equal rule)

Each of the I populations must be normally distributed (histograms or normal quantile plots). But the test is robust to normality deviations for large enough sample sizes, thanks to the central limit theorem.

Document info
Document views145
Page views145
Page last viewedTue Dec 06 19:29:55 UTC 2016
Pages41
Paragraphs368
Words2988

Comments