ACE 262

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Credit: 3 hours.

Statistics is a key tool in the data analysis process, which involves data collection, data description, data analysis, and results interpretation. ACE 262 discusses how to collect data and how to analyze these data using descriptive statistics. Descriptive statistics help summarize the data in a meaningful way and identify possible patterns. The course also introduces random variables, probability distributions, hypothesis testing, simple linear regression, and the theoretical underpinnings of these concepts. An emphasis is placed on examples from the field of economics, but other areas are represented as well. Course content enhances students’ critical thinking skills and their 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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