MANOVA ("multiple analysis of variance") is a procedure for testing the equality of mean vectors of more than two populations. The technique is analogous
to ANOVA for univariate data, except that groups are compared
on multiple response variables simultaneously. While 
-tests can be used in the uniseriate case to assess the hypothesis
under consideration, there is no single test statistic in the multivariate case that
is optimal in all situations (Everitt and Wykes 1999, p. 125).
MANOVA
See also
ANOVAExplore with Wolfram|Alpha
References
Bijleveld, C. C. J. H.; van der Kamp, L. J. T.; Mooijaart, A.; van der Kloot, W. A.; van der Leeden, R.; and van der Burg, E. Longitudinal Data Analysis: Designs, Models and Methods. London: Sage, 1998.Everitt, B. S. and Wykes, T. Dictionary of Statistics for Psychologists. London: Arnold, p. 125, 1999.Referenced on Wolfram|Alpha
MANOVACite this as:
Weisstein, Eric W. "MANOVA." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/MANOVA.html