Multivariate normality in discriminant analysis implies that the sampling distributions of the linear combinations of dependent variables are normally distributed.
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Q18: Misclassification is best explained through the statistical
Q19: In standard, or direct, discriminant analysis, each
Q20: In sequential, or hierarchical, discriminant analysis, the
Q21: The assumptions for discriminant analysis are basically
Q22: Discriminant analysis is not sensitive to sample
Q24: There exists no test of the normality
Q25: Checking for univariate normality is a good
Q26: Discriminant functions are:
A) Linear combinations of the
Q27: The logic behind discriminant analysis involves finding:
A)
Q28: A discriminant analysis output typically has four
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