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Магистратура 2024/2025

Введение в статистику

Направление: 38.04.02. Менеджмент
Когда читается: 1-й курс, 2 модуль
Формат изучения: без онлайн-курса
Охват аудитории: для своего кампуса
Прогр. обучения: Международный бизнес в странах азиатско-тихоокеанского региона
Язык: английский
Кредиты: 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

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

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

Course Contents

  • 1. Introduction
  • 2. Sampling and descriptive statistics
  • 3. Single population parameters
  • 4. Statistical tests
  • 5. Correlation
Assessment Elements

Assessment Elements

  • non-blocking Quiz
  • non-blocking Final exam
Interim Assessment

Interim Assessment

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

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