• Demonstrate understanding of the nature of statistical analysis and decision theory as they relate to decision-making process in business and economics.
• Demonstrate understanding of parametric and non-parametric hypothesis testing and apply this statistical procedure to various business and economic situations, and in business research.
• Use regression analysis, time series analysis in business decision-making, economic analysis, and business research.
• Demonstrate understanding of fundamental ideas of analysis of variance, and factor analysis.
• Demonstrate understanding of the use of statistics in quality assurance.
• Design and deploy surveys via Qualtrics and generate basic statistical summaries using Qualtrics.

This is a higher level statistics course, with special focus on the practical application of statistical techniques to business and economics problems.

This course is designed to provide graduate business students in general, and MBA students in particular, an advanced statistical methods and applications course that can serve as a foundation for pursuing quantitative and analytical courses in the areas of finance, operations management, managerial economics, industrial engineering, and business research methods. The analytical skills and tools learned by the students from the class will be as applicable in the workplace.

The course will be delivered via a combination of lectures, power-point presentations, and situational problem-solving, requiring students to apply common statistical tools (Excel) and techniques to business and economics-related decision-making and research analysis situations. Computer-based statistical tools are utilized in tackling problem-solving.  

The course is designed to meet and satisfy the learning standards on quantitative analysis required by international accrediting bodies for business schools, such as the Association to Advance Collegiate Schools of Business (AACSB) and the Accrediting Council for Business Schools and Programs (ACBSP).

Class 1:  The role of statistics in all aspects of business
 decision-making process, review of basic probability concepts.  

Class 2: Review of Confidence Interval and Hypothesis Testing Concepts

Class 3: Hypothesis Testing and Confidence Intervals: One Group.
Class 4: Hypothesis Testing and Confidence Intervals: Two Groups

Class 5: Chi-square Distribution and ANOVA

Class 6: Simple Regression Analysis – An in-depth exploration
Feedback activity: Homework quiz via Learn. 

Class 7: Multiple Regression Analysis 

Class 8: Time series Analysis and Forecasting

Class 9: Decision Analysis/Decision Theory

Class 10: Introduction to Qualtrics, a Web-based survey application.

Class 11: Qualtrics application and review.

Preliminary Assignment: To help students get maximum value from ISUP courses, instructors provide a reading or a small number of readings or video clips to be read or viewed before the start of classes with a related task scheduled for class 1 in order to 'jump-start' the learning process.

Feedback Activity: A feedback activity defined by the course instructor will take place approx. half-way through the course.

Course timetable is available on http://www.cbs.dk/uddannelse/summer-university-programme/courses.

Lind, Machal, Wathen (2014). Statistical Techniques in Business and Economics. 16th Edition. McGraw-Hill.

Note: This is the same textbook I will be using in the undergraduate Basic Statistics for Business and Economics class. That class will use the first half of the textbook. This graduate level class will use the second half of this textbook.