STAT242 - Statistical Methods I for Business

General

Prefix

STAT

Course Number

242

Course Level

Undergraduate

Instruction Mode

Lecture

Description

Business problem solving: Data collection, summarizing and describing data, estimation and hypotheses testing, analysis of variance, regression analysis, time series, quality control, decision analysis. Use of statistical software.

Prerequisites

Credits

Min

4

Max

4

Repeatable

No

Goals and Diversity

MN Goal Course

No

Cultural Diversity

No

Learning Outcomes

Outcome

Students will be able to select and use appropriate statistical methods, including: study design, graphical and numerical summaries, probability models, z-scores and the normal distribution, one- and two-sample hypothesis tests and confidence intervals, chi-square tests, simple and multiple linear regression, analysis of variance, time series analysis, quality control, and decision theory.

Outcome

Students will be able to analyze a business problem through the application of an appropriate statistical method and the appropriate use and interpretation of statistical software.

Outcome

Students will be able to evaluate the validity of a statistical analysis of data.

Course Outline

Dependencies