Subject description - BD1M16STA

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BD1M16STA Statistical methods in economics Extent of teaching:14+6c
Guarantors:  Roles:PV,P Language of
teaching:
CS
Teachers:  Completion:Z,ZK
Responsible Department:13116 Credits:5 Semester:L

Anotation:

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.

Course outlines:

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

Exercises outline:

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.

Literature:

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

Requirements:

Webpage:

https://moodle.fel.cvut.cz/divize/13116/Katedra_ekonomiky__manazerstvi_a_humanitnich_ved

Subject is included into these academic programs:

Program Branch Role Recommended semester
MKEEM4_2016 Economy and Management of Power Engineering P 2
MKEEM5_2016 Economy and Management of Electrical Engineering P 2
MKEEM4_2018 Common courses PV 2,3


Page updated 18.6.2019 17:53:02, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)