Subject description - A1M16STA

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A1M16STA Statistical methods in economics Extent of teaching:2+2c
Guarantors:  Roles:P,V 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.
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

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

Requirements:

https://ekonom.feld.cvut.cz/web/index.php?option=com_content&task=section&id=7&Itemid=236

Webpage:

https://moodle.fel.cvut.cz/courses/A1M16STA

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPEEM4 Economy and Management of Power Engineering P 2
MPEEM5 Economy and Management of Electrical Engineering P 2
MPIB Common courses V
MPKME1 Wireless Communication V 2
MPKME5 Systems of Communication V 2
MPKME4 Networks of Electronic Communication V 2
MPKME3 Electronics V 2
MPKME2 Multimedia Technology V 2
MPKYR4 Aerospace Systems V 2
MPKYR1 Robotics V 2
MPKYR3 Systems and Control V 2
MPKYR2 Sensors and Instrumentation V 2


Page updated 24.6.2019 17:52:59, 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)