Introduction to Statistics

2024/2025

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент экономики

Статус:

Курс по выбору

Когда читается:

1-й курс, 2 модуль

Преподаватель

Заздравных Евгений Александрович

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

Assessment Elements

• Quiz
• Final exam

Interim Assessment

• 2024/2025 2nd module
  0.6 * Final exam + 0.4 * Quiz

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

Authors

• BRODSKAYA NATALYA NIKOLAEVNA