Overview
Description
Hypothesis testing; simple linear regression and correlation; analysis of variance; chi-square applications. Emphasis on data analysis as it relates to business decision-making.
Requirements
Prerequisites
- higher
ECON 261STAT 152STAT 352IS 101MATH 124MATH 126
Original catalog text
Prerequisites
Prerequisite(s): ECON 261 or STAT 152 or STAT 352; IS 101; MATH 124 or MATH 126 or higher.
Units
Lecture2
Discussion Recitation1
Catalog Details
Offering
Offered: Every Fall, Spring, and Summer
Terms
fall, spring, summer
Attributes
Standard
Learning Outcomes
- apply the methodology of basic hypothesis testing and understand how the process is used in business decision making.
- correctly identify and apply appropriate statistical tests for quantitative and qualitative parameters, including ANOVA, chi-square test, logistic regression, and time series analysis.
- use and interpret correlation and develop simple and multiple regression models to address a variety of business examples.
- develop and interpret output provided by statistical software for the statistical procedures covered in the course and be able to adequately verbalize the statistical conclusions provided by the software output.