MATH 410A - Advanced Statistical Methods I

Description:
A thorough treatment of regression and correlation. Chi-square and other enumeration statistics. Non-parametric statistical principles of experimental design. Examples will be from a variety of fields.

Prerequisites:
Prerequisite: MATH 311 or MATH 314 with a grade of C or higher.

Credits: (3)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Evaluate theoretical properties of multiple regression models, including underlying model assumptions and model construction.
Estimate multiple regression models.
Evaluate the appropriateness and fit of a statistical model, particularly multiple regression model, and interpret the model in context.
Estimate ANOVA models, and interpret the results.
Propose a major statistical project, choosing appropriate questions to be answered and appropriate statistical tools.
Communicate statistical results clearly orally and in writing.

Learner Outcomes Approval Date:
2/04/16