Basic Statistics

Catalog description

Studies appropriate statistical techniques for the systematic collection, presentation, analysis and interpretation of data. Studies statistical inference including sampling techniques, confidence intervals, type I and II errors, hypothesis testing, and results interpretation. Also includes descriptive statistics, basic probability theory, the Central Limit Theorem, probability distributions, linear regression, correlation and sample sizes. May require use of a graphing calculator or computer software. Lecture. Prerequisite(s): Complete MATH-200 with a grade of C or higher, or satisfactory MATC placement test score.