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.

Credit Hours

4

Lecture Hours

4

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

Attributes

  • Free Elective

  • Liberal Arts Elective

  • Math Elective

  • Quantitative Reason Intensive