ACE 262

Fall 2025 Part of Term 1

Part of Term 1
Aug 25-Dec 10

Applied Statistical Methods and Data Analytics I

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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 Fall 2022 for:

Quantitative Reasoning I

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ACE 262 class schedule data for fall 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	72898	Lecture	AS1	12:30PM -1:50PM	TR	Campus Instructional Facility	Gundersen, L Loduca, N	Part of Term: 1 Date Range: 08/25/25-12/10/25 Degree Notes: Quantitative Reasoning I course.