BUS 306 Quantitative Methods and Dynamic Forecasting
In the first part of this course students learn concepts in inferential statistics, its main principles and algorithms. They learn how to apply sampling distributions in the case of business random variables, how to state and test business hypotheses about population mean or proportion differences, how to calculate ANOVA table components, and how to deploy estimation methods to provide information needed to solve real business problems. In the second part of the course, students learn advanced model building methods, algorithms needed to make and test dynamic multiple regression models and time series (ARMA) models. In addition to teaching and learning methods based on the textbook, problem-based learning (PBL) and interactive engagement (IE) are used. Many internet data bases, EXCEL add-ins and EViews are used to enhance IE based learning. Selected SPSS or STATA examples are also provided.
Prerequisite
MAT 201