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This video is an introduction to the one-way multivariate analysis of variance (one-way MANOVA) including a description of how it is used, its elements, and the assumptions data must meet to be analyzed by the test. The assumptions of multivariate normality, homogeneity of variance-covariance matrices, and linearity are reviewed.
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