|COURSE TITLE||Data Analysis for Decision Making|
|SCHOOL||Lubin School of Business|
|DEPARTMENT||Master Of Business Admin|
Course Description: Students are taught to apply statistical tools useful for making effective managerial decisions in a disorganized and uncertain environment. They will develop valuable data analysis skills and the ability to choose appropriate statistical methods and interpret them in realistic management cases. These tools include methods for collecting, organizing presenting and analyzing data utilizing Excel and commercial-level software add-ins. Topics include applying statistical methods and presenting results for making better decisions using descriptive statistics, probability theory-including important statistical distributions, estimation, hypothesis testing and simple and multiple regression analysis. The emphasis will be on applying these tools to improve decision making in all functional areas of business.
|SECTION TITLE:||Data Analysis for Decision Making|
|REQUIRED MATERIAL:||Text: Albright, S.C., Winston, W., "Business Analytics: Data Analysis and Decision Making," Cengage Learning, 6th Edition, 2017. Software: Microsoft Excel, with the DecisionTools Suite by Palisade Software (which comes with the text and includes StatTools and other Excel “add-ins”). See instructions in the preface of the textbook under the title Student ancillaries, page xv. IF YOU DO NOT PURCHASE A NEW TEXTBOOK, YOU WILL BE CHARGED EXTRA FOR SOFTWARE PROGRAM STATTOOLS. Please have the textbook, and software downloaded on your computer by the second meeting of classes.|
|SECTION COMMENTS:||This is an online section that requires attendance and participation via Blackboard.|
|BlackBoard||05/28/2019 - 07/13/2019|