AEM 3100 - Business Statistics

Fall, Spring. 3 credits. Letter grades only.

Prerequisite: AEM 2100 or equivalent.

Fall: C. van Es; Spring: J. Chestnut.

Focuses on techniques used to analyze data from marketing research, business, and economics. Topics include experimental design and ANOVA, contingency-table analysis, quality-control methods, time-series analysis, and forecasting. Also includes brief introduction to nonparametric methods. Involves a research project designed to give experience in collecting and interpreting data.

Outcome 1: Critically analyze statistical models.

Outcome 2: Be able to communicate (orally and written) complex analyses.

Outcome 3: Distinguish appropriate approaches to answering research questions using quantitative methods.