Revised: February, 2015
Analysis of variance, regression, and correlation; analysis of categorical data; distribution free procedures. Prerequisites: MATH 270. Three semester hours.
By the end of the course students will be able to
Test models used for nominal and ordinal data scales;
Fit data to linear and non-linear regression curves and test the appropriateness of the model;
Compare means from several populations simultaneously and examine ways to describe variation in the data when fitted to the various models; and
Interpret the results of statistical analyses
Roxy Peck, Chris Olsen, and Jay DeVore. Introduction to Statistics and Data Analysis, Fourth Edition. (Brooks-Cole/Cengage Learning), 2011.
Grading procedures and factors influencing course grade are left to the discretion of individual instructors, subject to general university policy.
Attendance policy is left to the discretion of individual instructors, subject to general university policy.
Chapter 16: Nonparametric (Distribution-Free) Statistical Methods (8 days)
Distribution-Free Procedures for Inferences About a Difference Between Two Population
or Treatment Means Using Independent Samples (Optional). Distribution-Free Procedures
for Inferences About a Difference Between Two Population or Treatment Means Using
Paired Samples. Distribution-Free ANOVA.
Most instructors for this course require the use of statistical calculators.