Summer 2021  |  MBA 6120 Section 070: Data Analysis and Statistics for Managers (82061)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Enrollment Requirements:
MBA student
Times and Locations:
Extended Regular Session
 
06/07/2021 - 08/22/2021
Off Campus
Virtual Rooms ONLINEONLY
Enrollment Status:
Open (20 of 65 seats filled)
Also Offered:
Course Catalog Description:
Concepts/ principles of business statistics, data analysis, and presentation of results. Topics: exploratory data analysis and graphics, basic inferential procedures including estimation and hypothesis testing, correlation, bivariate and multiple regression analysis, forecasting and predictive modeling using regression, and introduction to the design of experiments. These methods are selected for their relevance to managerial decision making and problem solving. prereq: MBA student
Class Notes:
http://classinfo.umn.edu/?term=1215&institution=UMNTC&subject=MBA&catalog_nbr=6120 This section 077 is only available to our Online MBA (OMBA) Program students. Students in the Full-Time or Part-Time programs can take section 070 courses for fully online opportunities.
Class Description:
The course begins with an overview of graphical and numerical methods for summarizing data. These tools are useful for exploratory data analysis. Much of the rest of the course is devoted to the use of inferential statistics. The basis for inferential statistics is the concept of the sampling distribution of a statistic. Some background is given first on statistical distributions, and then the sampling distribution of the sample mean is covered in detail. Once the concept of a sampling distribution is absorbed, basic statistical procedures such as the confidence interval estimation and hypothesis testing are easily understood. These are the basic statistical building blocks for a number of useful statistical procedures that follow, including simple linear regression, multiple linear regression, experimental design, and categorial data analysis. Throughout, we focus on basic concepts and the practical use of these methods in management environments. This course provides the background in statistical methods that is required for a number of other courses in the curriculum, such as marketing, operations, and finance.
Who Should Take This Class?:
This is a required course for Part-Time MBA students and is reserved for MBA students. If you are a non-MBA student seeking to take this course, fill out the petition form found at goo.gl/9Y9PR5. Additional information, including petition deadlines, can be found at http://carlsonschool.umn.edu/degrees/master-business-administration/part-time-mba/admissions/mba-course-petition-form
Learning Objectives:
During the course, the student should achieve the ability to: (1) formulate a management problem as a statistical problem if appropriate; (2) collect data and to execute basic statistical procedures in analysis; and (3) to interpret, critically evaluate, and implement the results of the statistical analysis. In particular, the student should be able to:
 generate and use basic graphical and numerical descriptive methods;
 apply basic estimation and testing procedures;
 estimate and interpret the parameters of simple and multiple regression models; to test the utility of the models and to use them for estimation and prediction;
 think statistically about issues facing her/his organization
 recognize when statistical methods are effective, and when they are not, translate,
communicate, and critically evaluate the results of statistical analyses
Textbooks:
https://bookstores.umn.edu/course-lookup/82061/1215
Instructor Supplied Information Last Updated:
5 April 2017

ClassInfo Links - Summer 2021 Master of Business Admin Classes

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