Бакалавриат
2024/2025
Экономическая статистика
Статус:
Курс обязательный (Международный бакалавриат по бизнесу и экономике)
Направление:
38.03.01. Экономика
Кто читает:
Департамент экономики
Где читается:
Санкт-Петербургская школа экономики и менеджмента
Когда читается:
1-й курс, 2 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Course Syllabus
Abstract
The primary objective of this course is to equip students with an understanding of how the process of formulating research questions, collecting relevant data, analyzing and visualizing results, and interpreting statistical evidence supports effective problem-solving and strategic decision-making. Students will develop the ability to apply statistical reasoning and quantitative methods in real-world contexts.
Emphasis is placed on cultivating practical skills in data literacy, critical thinking, and evidence-based decision-making.
The course offers a comprehensive introduction to statistics for students who seek to understand how statistical tools and analytical techniques are used to address real problems, assess alternatives, and support sound analytical decisions—without requiring prior coursework in probability theory.
Learning Objectives
- The course aims to: • Develop students’ ability to identify, collect, and use primary and secondary data sources appropriately, and to correctly interpret and apply statistical information in various contexts; • Teach students how to organize, summarize, and present statistical data clearly and accurately using tables, charts, and graphs; • Enable students to compute and interpret key descriptive measures; • Involve students in the full statistical process — from data exploration and analysis to drawing meaningful conclusions and formulating recommendations; • Engage students in the practical application of statistical methods for decision-making through case studies, problem-solving exercises, and collaborative project work.
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
- Summarize qualitative data by constructing a frequency distribution
- Construct and interpret a pie chart and a bar chart
- Summarize quantitative data by constructing a frequency distribution
- Construct and interpret a stem-and-leaf diagram
- Calculate and interpret measures of central location
- Interpret a percentile and a boxplot
- Calculate and interpret measures of dispersion
- Explain mean-variance analysis and the Sharpe ratio
- Construct and interpret a scatterplot
- Calculate and interpret covariance between two variables
- Calculate and interpret the correlation between two variables
Course Contents
- 1. What is Statistics?
- 2. Generalizing statistical indicators: absolute and relative values. Indexes.
- 3. Presenting Data in Tables and Charts
- 4. Numerical Descriptive measure
- 6. Correlation analysis
Interim Assessment
- 2024/2025 2nd module0.29 * Group project + 0.2 * Quizzes for every topic + 0.51 * Test
Bibliography
Recommended Core Bibliography
- Business statistics : A Decision-Making Approach, Groebner, D. F., 1993
Recommended Additional 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.
- Essentials of business statistics, Jaggia, S., 2014
- Groebner, David, et al. Business Statistics, EBook, Global Edition, Pearson Education, Limited, 2018. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=5186156.
- Inequality, polarization and poverty : advances in distributional analysis, Chakravarty, S. R., 2009