Statistical Methods for Market Research

2023/2024

Academic Year

ENG

Instruction in English

5

ECTS credits

Delivered at:

Big Data and Information Retrieval School

Course type:

Compulsory course

When:

4 year, 2, 3 module

Instructor

Kasianova, Ksenia

Course Syllabus

Abstract

In this course, we understand market analysis as a set of various probabilistic, statistical, econometric and stochastic methods that help to solve real applied problems. Classical approaches of data analysis do not always work properly in reality. There is a need to explore other methods (often more complex and advanced). We introduce some of such tools which can be applied in practice and, in our humble opinion, are extremely important and useful.

Learning Objectives

• To learn how various advanced probabilistic, statistical, econometric and stochastic techniques can be applied to the real business problems

Expected Learning Outcomes

• Students will gain ample knowledge of Bootstrap, Welch test, Mann-Whitney test, CUPED, The difference in Difference estimator, Matching, Multiple comparison.
• Students will gain ample knowledge of Discriminant analysis, LOGIT, PCA, Factor analysis, Cluster analysis, Dendrogramms, Conjoint Analysis and Multidimensional scaling.
• Students will gain ample knowledge of Sampling, Sample size calculation, Contingency tables, Chi-squared tests, ANOVA, ANCOVA and Partial correlation.
• a student can perform an A/B test
• a student can apply a difference-indifference approach
• a student can apply bootstrap techniques
• a student can work with logistic regressions (simple, ordered and multinomial)
• a student can apply non-parametric techniques
• a student can apply stochastic methods
• a student can conduct an A/B test

Course Contents

• A/B testing

Assessment Elements

• Homework
• Exam 1
• Exam 2
• Bonus activities

Interim Assessment

• 2023/2024 2nd module
  Fall Grade = 0.4*Homework + 0.6*Exam 1 + 0.1*Bonus activities
• 2023/2024 3rd module
  Final Grade = 0.5*Fall Grade + 0.2*Homework + 0.3*Exam 2 + 0.1*Bonus activities

Bibliography

Recommended Core Bibliography

• Malhotra, N. K. (2017). Marketing Research. [N.p.]: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1531280

Recommended Additional Bibliography

• Newbold, P., Carlson, W. L., & Thorne, B. (2013). Statistics for Business and Economics: Global Edition (Vol. Eight edition). Boston, Massachusetts: Pearson Education. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1417883

Authors

• Абдулхакимов Мухиддин Мураджанович
• Стоякина Елена Игоревна