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Statistical Methods I (Global)

Course

Course Title

Class

Lab/ Shop

Clinical/ Co-op

Credit

MAT 152

Statistical Methods I (Global)

Prerequisites: None

Corequisites: MAT 045

Effective Term: Summer 2024

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

This Course can be found in these Programs of Study

Biotechnology - Associate in Applied Science (Day, Evening)
Criminal Justice Technology - Forensic Science REVISED - Associate in Applied Science (Day, Evening)
Health Information Technology - Associate in Applied Science (Day)
Social and Human Services - BSW Transfer NEW - Associate in Applied Science (Day)