Бакалавриат
2019/2020
Экономическая статистика
Статус:
Курс обязательный (Международный бизнес и менеджмент/ Менеджмент)
Направление:
38.03.02. Менеджмент
Кто читает:
Департамент экономики
Где читается:
Санкт-Петербургская школа экономики и менеджмента
Когда читается:
2-й курс, 3, 4 модуль
Формат изучения:
без онлайн-курса
Преподаватели:
Аверьянова Юлия Вадимовна,
Александрова Екатерина Александровна,
Альбаева Венера Ильшатовна,
Гарипова Фарида Габдулхаевна,
Заздравных Евгений Александрович,
Купера Александра Валерьевна,
Хабибуллина Алина Ришатовна
Язык:
английский
Кредиты:
5
Контактные часы:
64
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
- 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
- to be able to apply quantitative research methods in the field of business studies
- be able to demonstrate knowledge of descriptive statistics and data visualization
- be able to calculate confidence intervals
- be able to find probability distributions for discrete events
Course Contents
- Introduction
- Descriptive Statistics
- Confidence Intervals
- Testing Hypotheses
- Compare Two Populations
- ANOVA
- Correlation
- Chi-Square
- Nonparametric Methods
- Surveys
- Sampling
- Indices I
- Indices II
- Time Series
- Cluster Analysis
Interim Assessment
- Interim assessment (4 module)0.1 * Minitest 1 + 0.1 * Minitest 2 + 0.1 * Minitest 3 + 0.15 * PracticalTask + 0.25 * Test 1 + 0.1 * Test 2 + 0.2 * Test 3
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.
- Biswas, D. (2019). Probability and Statistics: Volume I. [N.p.]: New Central Book Agency. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2239779
- 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
- Bertail, P., Blanke, D., Cornillon, P.-A., & Matzner-Løber, E. (2019). Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016. Cham, Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2044916
- Bruce, P. C. (2014). Introductory Statistics and Analytics : A Resampling Perspective. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=923330
- Dekking F. M. et al. A Modern Introduction to Probability and Statistics: Understanding why and how. – Springer Science & Business Media, 2005. – 488 pp.
- 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