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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Statistical methods in economics

The course is not on the list Without time-table
Code Completion Credits Range Language
B1M16STA Z,ZK 5 2P+2S Czech
Lecturer:
Tutor:
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/divize/13116/Katedra_ekonomiky__manazerstvi_a_humanitnich_ved
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-10-18
For updated information see http://bilakniha.cvut.cz/en/predmet4713506.html