LG-349 Statistics for the Decision Maker
Presentation and use of data in decision making, with emphasis on practical business applications; graphic and tabular summarization; measures of central tendency and dispersion; sampling distributions and estimation of important statistical parameters; hypothesis testing; analysis of variance; non-parametric methods; and single and multiple regression analysis. Excel is used to solve large scale case problems.
Credits
3