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Inside Collection (Textbook):

Textbook by: Barbara Illowsky, Ph.D., Susan Dean. E-mail the authors

# Summary

Summary: This module provides a summary of F Distribution and One-Way ANOVA as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.

• A One-Way ANOVA hypothesis test determines if several population means are equal. The distribution for the test is the F distribution with 2 different degrees of freedom.

## Assumptions:

1. Each population from which a sample is taken is assumed to be normal.
2. Each sample is randomly selected and independent.
3. The populations are assumed to have equal standard deviations (or variances)
• A Test of Two Variances hypothesis test determines if two variances are the same. The distribution for the hypothesis test is the F distribution with 2 different degrees of freedom.

## Assumptions:

1. The populations from which the two samples are drawn are normally distributed.
2. The two populations are independent of each other.

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