Statistical Methods for Market Research

2021/2022

Academic Year

ENG

Instruction in English

7

ECTS credits

Delivered at:

Big Data and Information Retrieval School

Course type:

Elective course

When:

4 year, 1-3 module

Instructors

Demeshev, Boris

Kasianova, Ksenia

Course Syllabus

Abstract

This course concentrates on transforming students into competent and confident users of statistical software to enable them to conduct independent data analysis by taking a more applied approach to conventional statistics. The first half of the course focuses on aspects of market research, and in the second half the emphasis is on the practical application of a variety of multivariate statistical techniques to supplied datasets.

Learning Objectives

• Students will expand their knowledge about Statistics and its market application

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.

Course Contents

• # Module 1
• # Module 2
• # Module 3

Assessment Elements

• Final exam
• Midterm exam
• Home Assignments

Interim Assessment

• 2021/2022 3rd module
  0.5 * Final exam + 0.3 * Midterm exam + 0.2 * Home Assignments

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