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Economic Statistics

2019/2020
Учебный год
ENG
Обучение ведется на английском языке
5
Кредиты
Статус:
Курс обязательный
Когда читается:
2-й курс, 3, 4 модуль

Преподаватели

Course Syllabus

Abstract

This course equips students with basic skills in statistical analysis in economics and management. Student learn principles of sampe design, testing hypotheses, estimation of correlations. Exercises are based on business cases and datasets from business.
Learning Objectives

Learning Objectives

  • be able to design sample for the survey or data collection
  • be able to use distributions for analytical purposes
  • be able to create statistical distributions
  • be able to test hypotheses
  • be able to estimate correlation coefs
  • be able to draw conclusions based on statistical analysis
Expected Learning Outcomes

Expected Learning Outcomes

  • to be able to apply quantitative research methods in the field of business studies
  • Demonstrate knowledge of descriptive statistics and data visualization
  • Demonstrate knowledge of probability concepts
  • be able to find probability distributions for discrete events
Course Contents

Course Contents

  • Data types
  • Descriptive Statistics
  • Confidence Intervals
  • Sampling
  • Hypothesis Testing
  • Analysis of Variance
  • The Chi-square Test
  • Nonparametric Methods
  • Simple Regression and Correlation
Assessment Elements

Assessment Elements

  • non-blocking Test 1
  • non-blocking Test 2
  • non-blocking Minitest 1
  • non-blocking Minitest 2
  • non-blocking PracticalTask
Interim Assessment

Interim Assessment

  • Interim assessment (4 module)
    0.1 * Minitest 1 + 0.1 * Minitest 2 + 0.3 * PracticalTask + 0.25 * Test 1 + 0.25 * Test 2
Bibliography

Bibliography

Recommended Core Bibliography

  • Denis, D. J. (2016). Applied Univariate, Bivariate, and Multivariate Statistics. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1091881
  • Denis, Daniel J. (2015). Applied Univariate, Bivariate and Multivariate Statistics, John Wiley & Sons, Inc. https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=4338227
  • Statistics and Causality : Methods for Applied Empirical Research, edited by Wolfgang Wiedermann, and Eye, Alexander von, John Wiley & Sons, Incorporated, 2016. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=4530803.
  • Stowell, Sarah (2014). Using R for Statistics. Apress. https://link.springer.com/book/10.1007%2F978-1-4842-0139-8

Recommended Additional Bibliography

  • Pearl, J., Glymour, M., & Jewell, N. P. (2016). Causal Inference in Statistics : A Primer. Chichester, West Sussex, UK: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1161971