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What is Assumptions in Multivariate Analysis about?

This document discusses types of data and statistics used in data analysis. It describes discrete/non-metric and continuous/metric data, as well as nominal, ordinal, interval, and ratio measurements. Descriptive statistics and tests used for group differences and relationships are presented for both non-metric and continuous data. Guidelines for multivariate analysis include establishing practical significance, sample size considerations, knowing your data, model parsimony, examining errors, and validating

Author

Kristoffer N Valerie Loquias

Language

EN