The methods of analysis for data which consist of observations on a number of variables are studied. The primary aim is interpretation of the data, starting with simple graphical techniques and proceeding to the standard multivariate inference theory. Sufficient theory is developed to facilitate an understanding of the main ideas. Topics include graphical techniques, simple geometry, the multivariate normal distribution, inferences about means and linear models, principal components, and possibly some discussion of discriminant analysis, if time and student interest permit. Integrated with the undergraduate course SC/MATH 4630 3.00. Prerequisites: SC/MATH 2022 3.00, SC/MATH 3031 3.0, 3131 3.00, SC/MATH 3034 3.00 or equivalent courses which must be approved by the Instructor.
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