IS242 - Business Statistics

General

Prefix
IS
Course Number
242
Course ID
00016809
Course Level
Undergraduate
Instruction Mode
Lecture
Department(s)
Information Systems
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. Prereq.: MATH 106 or 196 or equivalent.
Cross Listed Courses

Prerequisites

Credits

Min
4
Max
4
Repeatable
No

Goals and Diversity

MN Goal Course
No
MN Goal Designation(s)
-
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.

Dependencies

No dependencies