CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

# Statistical methods in economics

Code Completion Credits Range Language
BE1M16STA Z,ZK 5 2P+2S English
Garant předmětu:
Šerzod Tašpulatov
Lecturer:
Šerzod Tašpulatov
Tutor:
Šerzod Tašpulatov
Supervisor:
Department of Economics, Management and Humanities
Synopsis:

Basic Concepts. Statistical series. Assortment. Distributions of frequencies. One-dimensional descriptive characteristics. Measures of variables, coefficient of skewness, coefficient of excess. Points estimates of basic characteristics. Interval estimates of basic characteristics. Hypothesis testing of basic characteristics. Individual indexs number. Aggregative indexs. Variable-structure indexs. Multifactor indexs . Correlation and regression, Basic Concepts. Measurement of dependence intensity. Time series, concepts, qualities. Chronological average . Time series - trends and extrapolation.

Requirements:
Syllabus of lectures:

1.Basic Concepts. Statistical series. Assortment. Distributions of frequencies.

2.One-dimensional descriptive characteristics. Measures of central tendency.Measures of variables

3.Statistical induction, theoretic distributions..

4.Points and Interval estimates of basic characteristics

5.Hypothesis testing of basic characteristics.

6. ANOVA, one, two, multi - factors

7. Measurement of dependence intensity, covariance and corelation

8. Correlation and regression, basic concepts

9. Multiply regression and correlation, basic concepts.

10. Binary explaining variables

11. Linear models, Probit and logit

12. Time series, concepts, qualities. Chronological average, trends and extrapolation

13. Time series, autocorrelation, heteroscedasticity

14. Summary, reserve

Syllabus of tutorials:

1.Basic Concepts. Statistical series. Assortment. Distributions of frequencies.

2.One-dimensional descriptive characteristics. Measures of central tendency.

3.One-dimensional descriptive characteristics. Measures of variables, coefficient of skewness, coefficient of excess.

4.Points estimates of basic characteristics.

5.Interval estimates of basic characteristics

6.Hypothesis testing of basic characteristics.

7.Individual indexs number. Aggregative indexs.

8.Variable-structure indexs. Multi - factors indexs.

9.Correlation and regression, basic Concepts.

10.Measurement of dependence intensity.

11.Multiply regression and correlation. Basic concepts.

12.Time series, concepts, qualities. Chronological average .

13.Time series - trends and extrapolation.

14.Collective consultation.

Study Objective:
Study materials:

1.Daniel, Terrel: Business Statistics. Boston, Houghton Miffin Company,1989

2.Freed N.: Understanding Business Statistics. Lulu.com 2008

3.Van Matre, Gilbreath. Statistics for Business and Economics. 1983

4.Anderson, Sweeney, Williams. Statistics for Business and Economics. 2011

5.Jeffrey M. Wooldridge. Introductory Econometrics: A Modern Approach. 2002

Note:
Further information:
https://moodle.fel.cvut.cz/courses/BE1M16STA
Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-07-21
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet4830406.html