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, regression analysis and One-way & 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

C or better in MAT022 Foundations of Algebra or MAT090 Mathematical Literacy for College Students or placement exam score

Corequisite

Reading proficiency or REA021 College Reading

Attributes

  • Free Elective

  • Liberal Arts Elective

  • Math Elective

  • Quantitative Reason Intensive