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Therefore, the mgf uniquely determines the distribution of a random variable. There are particularly simple results for the moment-generating functions of distributions defined by the weighted sums of random variables. Thus, it provides the basis of an alternative route to analytical results compared with working directly with probability density functions
However, when we have more than one dependent variable and one or more independent variable, then we will use multivariate analysis of variance (MANOVA). A relatively complete discussion of the analysis (models, data summaries, ANOVA table) of the completely randomized experiment is available. 1 These include hypothesis testing, the partitioning