CTU FEE Moodle
Statistical methods in economics
B232 - Summer 23/24
This is a grouped Moodle course. It consists of several separate courses that share learning materials, assignments, tests etc. Below you can see information about the individual courses that make up this Moodle course.
Statistical methods in economics - B1M16STA
Main course
Credits | 5 |
Semesters | Both |
Completion | Assessment + Examination |
Language of teaching | Czech |
Extent of teaching | 2P+2S |
Annotation
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.
Study targets
No data.
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
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 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.
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
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
No data.
Statistical methods in economics - BD1M16STA
Credits | 5 |
Semesters | Summer |
Completion | Assessment + Examination |
Language of teaching | Czech |
Extent of teaching | 14KP+6KC |
Annotation
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.
Study targets
No data.
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
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 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.
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
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
No data.
Statistical methods in economics - BE1M16STA
Credits | 5 |
Semesters | Summer |
Completion | Assessment + Examination |
Language of teaching | English |
Extent of teaching | 2P+2S |
Annotation
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.
Study targets
No data.
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
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 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.
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
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
No data.