OA3103 Data Analysis

Techniques for analyzing, summarizing and comparing sets of real data with several variables focusing on linear models. Computations are done using statistical software. Model building and verification, graphical methods of exploration. Analysis of variance including multiple comparisons, with coverage of interaction and simple design cases.  Least squares and robust regression, diagnostics, selection of transformations, and variable selection techniques. PREREQUISITE: OA3102.

Prerequisite

OA3102

Lecture Hours

4

Lab Hours

1

Quarter Offered

  • Fall
  • Spring