MATH 334 - Applied Analysis of Variance

3 Credits
Three hours per week.

This course is designed to cover a study of relation between a dependent variable and one or more independent variables. It will study quantitative or qualitative attributes of data without requiring assumption about the nature of the statistical relation. The course will emphasize single and multifactor models analysis, analysis of factor effects, implementation of models, analysis of variance, and analysis of covariance. Students are required to complete computer projects using statistical software systems.

Prerequisite(s) MATH 331 or Departmental permission required to register. Students must pass MATH 331 with a grade of C or better.
Offered (FALL/SPRING)