It is extended version an ANOVA with two or more dependent variables. ANOVA test is used for evaluating the difference in means between two or more related groups, while a MANOVA test is used for evaluating the difference in two or more vectors of factors. ASSUMPTIONS: All the observations should be statistically independent. We should have an adequate sample size. As a larger sample size, the better it is. We should be having more cases than the number of variables in each group. In ANOVA, the Dependent variables are normally distributed within the group. whereas in MANOVA,the Dependent variables have multivariate normality within the groups. There are no univariate or multivariate outliers. Univariate outliers are often just called outliers.In one-way MANOVA, we see how to: (1) detect univariate outliers using box plots using SPSS statistics in order to check outliers (2) check for multivariate outliers using Mahalanobis distance, which we can do in SPSS read...