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COURSE INFORMATION

COURSE TITLE Data Analysis for Decision Making
CREDIT RANGE 3.000
SCHOOL Lubin School of Business
DEPARTMENT Master Of Business Admin 
LEVEL Graduate
COREQUISITE none
PREREQUISITE none
DESCRIPTION:

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.
NOT OPEN TO STUDENTS WHO HAVE TAKEN MBA 628.



SECTION INFORMATION

CRN: 40102
SUBJECT: MBA
COURSE NUMBER: 646
SECTION TITLE: Data Analysis for Decision Making
CAMPUS: Online
SCHEDULE TYPE: Lecture
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.
COREQUISITE None
FEES: 0
CAPACITY 30
SEATS AVAILABLE 21
INSTRUCTOR: Christian Madu
RESTRICTION(S):

Online

Online Type Date
BlackBoard 05/28/2019 - 07/13/2019