Subject description - AD1M16STA

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AD1M16STA Statistical methods in economics Extent of teaching:14+6c
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/cs/student/predmety/statisticke-metody-v-ekonomice

Webpage:

https://ekonom.feld.cvut.cz/cs/student/predmety/statisticke-metody-v-ekonomice

Subject is included into these academic programs:

Program Branch Role Recommended semester
MKKME1 Wireless Communication V 2
MKKME5 Systems of Communication V 2
MKKME4 Networks of Electronic Communication V 2
MKKME3 Electronics V 2
MKKME2 Multimedia Technology V 2
MKOI1 Artificial Intelligence V 2
MKOI5 Software Engineering V 2
MKOI4 Computer Graphics and Interaction V 2
MKOI3 Computer Vision and Image Processing V 2
MKOI2 Computer Engineering V 2
MKEEM5 Economy and Management of Electrical Engineering P 2
MKEEM4 Economy and Management of Power Engineering P 2
MKKYR4 Aerospace Systems V 2
MKKYR1 Robotics V 2
MKKYR3 Systems and Control V 2
MKKYR2 Sensors and Instrumentation V 2


Page updated 6.12.2019 17:52:32, 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)