This report reviews classical experimental designs including single and multiple factor analysis of variance, analysis of covariance, and Latin squares designs. Assumptions used in the models are presented, and tests for violations of the assumptions are described. Examples illustrating primary designs and remarks discussing further model extensions and considerations are also included.Prepared under Grant Number 78NI-AX-0007 from the National Institute of Law Enforcement and Criminal Justice, Law Enforcement Assistance Administration, U.S. Department of Justice.