ANOVA Basics
Assumptions
The F-Test
100

What does ANOVA stand for?

Analysis of Variance

100

The populations must have what type of distribution?

Normal distributionv

100

What does the F statistic compare?

Between-group variability vs. within-group variability

200

ANOVA compares these instead of means directly...

Variances

200

The variances among groups must be approximately what?

Equal (homogeneity of variance)

200

What is the numerator in the F ratio called?

Mean Square Between (MSB)

300

The F-test compares the ratio of what two variances?

Between-group variance/

300

Observations must be what type of data?

Independent

300

What is the denominator in the F ratio called?

Mean Square Within (MSW)

400

If the F value is large, what does that indicate?

Greater differences among group means

400

What test is used to check equality of variances?

Levene’s test

400

If Fcalc > Fcritical, what decision do we make?

Reject the null hypothesis

500

What are the two hypotheses tested in ANOVA?

H₀: all means are equal; H₁: at least one mean differs

500

If assumptions are violated, what test can we use instead of ANOVA?

Welch’s ANOVA or Kruskal–Wallis test

500

The F-distribution is always what shape?

Positively skewed

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