Compare and contrast the analysis of variance (ANOVA) with a t test. Solution Both tests are are able to compare the means of two levels of a factor. The difference is that the ANOVA test is able to compare two or more level simultaneously without type I error inflation. If you try to conduct multiple comparisons with just t-tests, then your alpha level (type I error) will increase..