The course addresses a wide range of issues and questions using statistical techniques such as collection, analysis and interpretation of data, measures of central tendency and dispersion, probability and probability distributions, sampling and sampling distributions, estimation, statistical hypotheses testing, test of goodness of fit, regression and correlation. Problem solving for business and economics, social and physical sciences, engineering, etc. are used.

Restrictions: Cross-Listed Course: MGMT 290 

Lecture Hours: 45

Lab Hours: 15