MAT125 Statistics
This is a project-based introductory course in descriptive and inferential statistics. Methods of descriptive statistics include frequency distributions, common measures of central tendency and variability, elementary concepts of probability, and certain probability distributions such as the normal and binomial. Methods of inferential statistics include the Central Limit Theorem, confidence intervals and hypothesis testing for both large and small samples, and correlation and regression analysis and One-Way and Two-Way ANOVA. A project and a computer lab component are incorporated. A TI-83, TI-83 Plus, or a TI-84 Plus graphing calculator is required.
Prerequisite
College Reading proficiency or
RWR090 Reading Writing and Reasoning Minimum Grade of: C and C or better
MAT022 or
MAT090 or placement exam score