Statistical Methods I (MAT-152)
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.
| Credits | |
|---|---|
| Class Credits | 3 |
| Lab Credits | 2 |
| Clinic Credits | 0 |
| Work Credits | 0 |
| Total Credit Hours | 4 |
Math (MAT)
Student must have credit for the following Math course: Concepts of Essential MathStatistics (MAT-025)
Yes
Yes
Yes
Note: In accordance with the Comprehensive Articulation Agreement, this course has been approved to satisfy the Universal General Education Transfer Component requirement for mathematics in the A.A. degree program. This course has been approved to meet the mathematics requirement in A.A.S. degree programs.
***Please refer to the online version of the Richmond Community College Program and Course Catalog and the Student Handbook for current academic and general policies.***