Master
2024/2025
Introduction to Statistics
Type:
Elective course (International Business in the Asia-Pacific Region)
Area of studies:
Management
Delivered by:
Department of Economics
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Evgeny Zazdravnykh
Master’s programme:
International Business in the Asia-Pacific Region
Language:
English
ECTS credits:
3
Course Syllabus
Abstract
This course is an introductory course in network analysis, designed to familiarize graduate students with the general concepts and basic techniques of network analysis in sociological re-search, gain general knowledge of major theoretical concepts and methodological techniques used in social network analysis, and get some hands-on experience of collecting, analyzing, and mapping network data with SNA software. In addition, this course will provide ample opportu-nities to include network concepts in students’ master theses work.
Learning Objectives
- The course has the following objectives: • To teach students to use primary and secondary data sources properly and to correctly interpret and apply statistical information • To correctly present statistical data in tables and charts • To calculate numeric descriptive measures To involve students into the statistical process starting from analyzing the data and going up to final conclusions and recommendations. • To engage students into practical use of statistical methods for decision making through case analysis, problem solving and individual project creation.
Expected Learning Outcomes
- Describe the importance of statistics.
- Differentiate between descriptive statistics and inferential statistics
- Explain the various data types
- Describe variables and types of measurement scales
Course Contents
- 1. Introduction
- 2. Sampling and descriptive statistics
- 3. Single population parameters
- 4. Statistical tests
- 5. Correlation
Bibliography
Recommended Core Bibliography
- Fraser C. Business statistics for competitive advantage with Excel 2016: basics, model building, simulation and cases. New York, NY: Springer Science+Business Media, 2016. 475 с.
- A step by step introduction to statistics for business, Landers, R. N., 2013
Recommended Additional Bibliography
- Good, P. I. (2013). Introduction to Statistics Through Resampling Methods and R (Vol. Second edition). Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=522954