ST 242 Applied Business Statistics (3 credits)
This course presents a practical development of several advanced methods of statistical inference that are useful in a wide range of business contexts. Topics include multiple regression and correlation analysis, analysis of variance, contingency tables, and the chi square test for independence and statistical decision theory. Considers additional topics, such as time series analysis and forecasting, non-parametric statistics, index numbers and survey sampling. The computer is used throughout the course as a means to efficiently solve practical problems.