Economic Statistics

2024/2025

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Economics

Course type:

Compulsory course

When:

1 year, 2 module

Instructors

Гарипова Фарида Габдулхаевна

Khabibullina, Alina

Course Syllabus

Abstract

The course is designed to give students the basic tools of collecting, analyzing, presenting, and interpreting data. Students will learn how to apply statistical information and quantitative methods to the workplace.

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
• 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
• 5. Correlation analysis

Assessment Elements

• Quizzes for every topic
• Test
• Group project

Interim Assessment

• 2024/2025 2nd module
  0.29 * 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

Authors

• BRODSKAYA NATALYA NIKOLAEVNA
• Garipova Farida Gabdulkhaevna