MATH 338 - Applied Stats II

4 Credits

1 Units

Applied Statistical Modeling is offered as a second applied course in statistics in which students from any discipline will be able to experience how statisticians think and practice. Students will investigate different case studies and take a problem-based approach to learn how to determine and implement appropriate statistical modeling techniques. An emphasis will be placed on statistical writing and communication of results. Topics include: inference for one and two samples, multiple linear regression, one- and two-way ANOVA, chi-square tests and logistic regression. Other topics (such as factorial experiments, block, split-plot, and repeated measures designs, or an introduction to Bayesian modeling) may be substituted or added as time allows. Students will be conducting all data analyses using the statistical software, R.

Prerequisite: MATH 232 with a grade of C- or better.
Credit Type Code: Letter Grade
TAGS Writing