Students examine the statistical methods and tools required for decision making in today's business environment. Topics include descriptive statistics and numerical measures, statistical inferences with two populations, hypothesis tests and nonparametric methods, analysis of variance, simple regression models, multiple regression models, regression and the model building process, regression models with categorical dependent variables and applied models with categorical dependent variables. Prerequisite: Admission to the GDBA or MBA or approval of degree committee Note: Students cannot get credit for more than one of BUSN 5010, BUSN 5011, GBUS 5010-Applied Statistics
Students examine the statistical methods and tools required for decision making in today's business environment. Topics include descriptive statistics and numerical measures, statistical inferences with two populations, hypothesis tests and nonparametric methods, analysis of variance, simple regression models, multiple regression models, regression and the model building process, regression models with categorical dependent variables and applied models with categorical dependent variables. Prerequisite: Admission to the GDBA or MBA or approval of degree committee Note: Students cannot get credit for more than one of BUSN 5010, BUSN 5011, GBUS 5010-Applied Statistics
