MAT 152 Statistical Methods I

Lecture: 3 Lab: 2 Clinic: 0 Credits: 4

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 CAA as a general education course in Mathematics. This is a Universal General Education Transfer Component (UGETC) course. Pre-requisite(s): Satisfactory completion of DRE 098 and DMA 010, DMA 020, DMA 030, DMA 040, DMA 050 .