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Statistical Methods I

Course

Course Title

Class

Lab/ Shop

Clinical/ Co-op

Credit

MAT 152

Statistical Methods I

Prerequisites: MAT 003 and ENG 002

Corequisites: MAT 052

Effective Term: Fall 2020

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 for transfer under the Comprehensive Articulation Agreement as a general education course in Mathematics (Quantitative).

Competencies

·Student Learning Outcomes
·1. Organize, display, calculate, and interpret descriptive statistics
·2. Apply basic rules of probability
·3. Identify and apply appropriate probability distributions
·4. Perform regression analysis
·5. Analyze sample data to draw inferences about a population parameter
·6. Communicate results through a variety of media

MAT 003 Tier 2 Required

Some sections of this course may be recognized for Global Distinction. Please contact your advisor for assistance.

2014FA - New Course (S23944)

2014FA - Identified Course as UGETC

2016FA - Identified Course as Global Distinction

2018FA – New Course Version (S24996)

2019SP - Revised State Prereq: Add MAT 003 and ENG 002 or ENG 111 and Local Coreq: Add MAT 052 or MAT 043

2020FA – New Course Version (S25430)

This Course can be found in these Programs of Study

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Associate in Arts in Teacher Preparation - Associate in Arts (Day, Evening)
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Health Information Technology - Associate in Applied Science (Day and Online)
Healthcare Management Technology - Associate in Applied Science (Day and Online)
Project Management Technology - Associate in Applied Science (Day and Online)