ACE 262

spring 2026

All Classes

Applied Statistical Methods and Data Analytics I

Credit: 3 hours.

Statistics is a key tool in the data analysis process involving data collection, description, analysis, and results interpretation. This course discusses how to collect and analyze data using descriptive statistics. Random variables, probability distributions, hypothesis testing, simple linear regression, linear systems, matrices, and the theoretical underpinnings of these concepts are introduced. Emphasis is placed on examples from the field of economics to enhance students’ ability to apply appropriate models to professional and everyday problems.

Credit is not given toward graduation for ACE 262 if credit for any of ECON 202, CPSC 241, STAT 100, or equivalent has been earned.

This course satisfies the General Education Criteria in Spring 2026 for:

Quantitative Reasoning I

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