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*MAT 152 Statistical Methods I

This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and regression, basic probability, discrete and continuous probability distributions, confidence intervals and hypothesis testing. Upon completion, students should be able to use appropriate technology to describe important characteristics of a data set, draw inferences about a population from sample data, and interpret and communicate results. This course has been approved to satisfy the Comprehensive Articulation Agreement general education core in mathematics (quantitative).

Class Lab Clinical Credit Prerequisites Corequisite

3

2

0

4

None


Several of these courses are offered via distance education. Refer to your class schedules and/or your advisor for more details.

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