Statistical Analysis

Catalog description

NS, Q, SU- This math course surveys techniques of data analysis used in decision making and research. Learners will work with descriptive and inferential statistics while studying data, correlation, regression, central tendency, probability, randomness, normal distributions, confidence intervals, hypothesis testing, and tests of independence. Materials will focus on business applications including sustainability. Emphasis is on analysis, interpretation, and statistical thinking. Necessary technology will be taught along with the subject matter.