Бакалавриат
2025/2026
Бизнес-статистика
Статус:
Курс обязательный (Международный бизнес)
Когда читается:
2-й курс, 1 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Веселова Анна Сергеевна
Язык:
английский
Контактные часы:
36
Course Syllabus
Abstract
The Business Statistics course is designed to equip students with essential statistical tools and techniques that are vital for making informed business decisions. This course will explore a range of statistical concepts and methods relevant to the analysis of data in a business context. Students will learn how to collect, analyze, interpret, and present data effectively, enabling them to draw meaningful conclusions and make data-driven decisions. the course emphasizes the practical application of statistical methods using real-world business scenarios, ensuring students understand how to apply these techniques in areas such as marketing, finance, and operations. Statistical software may be introduced for data analysis, enhancing students’ proficiency in handling and interpreting large volumes of data. By the end of the course, students should be proficient in understanding statistical reports, identifying trends, and making data-informed decisions, ultimately preparing them for roles in various sectors of the business landscape.
Learning Objectives
- To equip students with the fundamental statistical literacy required to transform raw business data into actionable insights, enabling them to make effective, evidence-based decisions in a variety of professional contexts.
- To develop students' ability to collect, analyze, interpret, and present data effectively, thereby enabling them to identify trends, solve business problems, and make data-informed decisions in key areas
Expected Learning Outcomes
- Define statistics as a science, distinguishing its subject, specific method, and main objectives.
- Explain the role of statistics as a source of reliable data for analyzing the economy and society
- Define and identify a statistical population, and explain the concept of its homogeneity
- List and describe the main stages of statistical research
- Apply the grouping method by classifying data into appropriate types of statistical groupings for a given analytical objective
- Critically select and apply appropriate types of indicators to accurately describe a dataset, justifying their choice based on the data's structure and the research objective
- Decompose a complex economic or social phenomenon into its constituent trends, cyclical patterns, and seasonal variations to diagnose underlying causes and predict short-term behavior
- Quantify overall change in a multifaceted, heterogeneous group (e.g., the cost of living, total business revenue) and analytically attribute this change to the specific influence of individual factors, such as price shifts versus changes in consumption patterns
- Assess the validity, limitations, and potential biases of statistical claims and official economic indicators by evaluating the methods used to construct them
- Diagnose the operational and financial health of an enterprise by synthesizing data on its resources (labor, capital), processes (productivity, turnover), and outcomes (costs, profit), and by attributing strengths and weaknesses to specific functional areas
- Construct and utilize statistical models that represent key economic relationships within a firm
- Evaluate the efficiency and long-term sustainability of an enterprise's use of all its resources
- Synthesize data from national accounts, demographic statistics, and household surveys to analyze how macroeconomic aggregates manifest in and are shaped by microeconomic realities
- Deconstruct official economic narratives by critically evaluating the methodological choices embedded in key indicators
Course Contents
- Theory of statistical observation and basic methods of statistical data analysis.
- Average values
- The concept of statistical dependence and the objectives of correlation analysis
- The concept of a time series. Types of series: interval and moment. Calculating the average level of a time series.
- Enterprise statistics as a source of information for the market sector of the economy
- Macroeconomic and social statistics. Basic concepts and categories used to construct the system of national accounts.
Interim Assessment
- 2025/2026 1st module0.4 * Exam + 0.2 * Group project + 0.2 * Mini Quiz + 0.2 * Seminar assignment
Bibliography
Recommended Core Bibliography
- Frederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, & James E. Witnauer. (2020). Essentials of Statistics for the Behavioral Sciences, Edition 10. Cengage Learning.
- Нарбут, В. В., Экономическая статистика=Economic statistics : учебник / В. В. Нарбут, В. Н. Салин, Е. П. Шпаковская. — Москва : КноРус, 2023. — 232 с. — ISBN 978-5-406-10947-2. — URL: https://book.ru/book/947677 (дата обращения: 03.04.2025). — Текст : электронный.
Recommended Additional Bibliography
- Нарбут, В. В., Статистика: теория и практика = Statistics: Theory and Practice : учебник / В. В. Нарбут, Е. П. Шпаковская, В. Н. Салин. — Москва : КноРус, 2022. — 389 с. — ISBN 978-5-406-09450-1. — URL: https://book.ru/book/944515 (дата обращения: 03.04.2025). — Текст : электронный.