IS242 - Business Statistics

General

Prefix

IS

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. Statistical software. Tutorial.

Prerequisites

Credits

Min

4

Max

4

Repeatable

No

Goals and Diversity

MN Goal Course

No

Cultural Diversity

No

Learning Outcomes

Outcome

Select and use appropriate statistical methods, including: (a) study design (b) graphical and numerical summaries (c) probability models (d) z-scores and the normal distribution (e) one- and two-sample hypothesis tests and confidence intervals (f) chi-square tests (g) simple and multiple linear regression (h) analysis of variance (i) time series analysis (j) quality control (k) decision theory

Outcome

Correctly analyze a business problem through the application of an appropriate statistical method and the appropriate use and interpretation of statistical software.

Outcome

Evaluate the validity of a statistical analysis of data.

Course Outline

Dependencies