Generating Hypotheses for t-Tests and ANOVAS

Aside from this week's objectives, you may find learning the follow terms helpful:

analysis of variance
one-way ANOVA
between-group variance
within-group variance
sum of squares between groups
sum of squares within groups
post hoc analysis
F distribution
two-way ANOVA
Compare the means of the three groups using the one-way ANOVA technique.
Compute the mean squares between, mean squares within, the F ratio, and determine the “significance” of results.
Differentiate a main effect and an interaction effect.

You can use a t-test or ANOVA when there are two treatment conditions. ANOVA must be used when there are more than two treatment conditions. In this situation it would require several t tests to compare all the treatments, and the more tests that are done the more risk there is for a Type I error.