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.
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.
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 & Course Catalog and the Student Handbook for current academic and general policies.***
Course Information
Hours
Credits:
4
Lab/Shop:
2
Lecture:
3
Work Exp.:
0
Clinical:
0
Semesters Offered
Fall
Spring
Summer
Requisite Information
- TimingPrerequisiteStudent must have credit for one of the following Math courses: MAT-025