
Papers
 ANOVA and MANOVA (Statsoft.com)
Describes methods by topic.
 ANOVA  Introduction (University of Leicester)
Describes the conditions that must be met in order to use the ANOVA and more.
 FTest (University of Duesseldorf)
"We can easily do power analyses for singlefactor and multifactor experiments. In G*Power, you select FTest (ANOVA), Global for ANOVA, fixed effects: Singlefactor designs, or FTest (ANOVA), Special for ANOVA, fixed effects: Multifactor designs, ANOVA, fixed effects: Planned comparisons, and Analyses of covariance (ANCOVA)."
 FTest (Wikipedia.org)
"An Ftest is any statistical test in which the test statistic has an Fdistribution if the null hypothesis is true. A great variety of hypotheses in applied statistics are tested by Ftests. Among these are given below:"
"The hypothesis that the means of multiple normally distributed populations, all having the same standard deviation, are equal. This is perhaps the most wellknown of hypotheses tested by means of an Ftest, and the simplest problem in the analysis of variance."
"The hypothesis that the standard deviations of two normally distributed populations are equal, and thus that they are of comparable origin."
 FTest for Equality of Two Standard Deviations (NIST.gov)
"An Ftest ( Snedecor and Cochran, 1983) is used to test if the standard deviations of two populations are equal. This test can be a twotailed test or a onetailed test. The twotailed version tests against the alternative that the standard deviations are not equal. The onetailed version only tests in one direction, that is the standard deviation from the first population is either greater than or less than (but not both) the second population standard deviation . The choice is determined by the problem."
 Tests for Differences in Variance (University of Leicester)
Describes the conditions that must be met in order to use the Ftest and other tests of homogeneity of variance.

