Economic Statistics
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
126EKST | Z,ZK | 4 | 1P+2C | Czech |
- Course guarantor:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Construction Management and Economics
- Synopsis:
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The content of the subject is applied economic statistics. Familiarization with statistical theory and subsequent application to solved examples.
- Requirements:
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they are not
- Syllabus of lectures:
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1. Introduction to statistics, descriptive statistics
2. Hypothesis testing
3. Contingency analysis contingency table, McNemar's test
4. Correlation analysis, One-factor analysis of variance - ANOVA
5. Regression analysis
6. Time series
7. Index analysis - basic and chain indices, individual and composite indices
- Syllabus of tutorials:
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1. Descriptive statistics frequencies, measures of location and variability
2. Descriptive statistics variance decomposition
3. Statistical hypothesis testing relative frequency test, mean value test
4. Testing of statistical hypotheses test of equality of mean values, test of dispersion
5. Statistical hypothesis testing test of the agreement of two variances, Chi-square test of goodness of fit
6. Contingency analysis contingency table, McNemar's test
7. One-factor analysis of variance - ANOVA
8. Correlation analysis Pearson's correlation coefficient, Spearmen's order correlation coefficient
9. Regression analysis - linear regression
10. Regression analysis - regression parabola
11. Time series - descriptive characteristics, averages, measures of dynamics
12. Time series - analyses, seasonal components
13. Index analysis - basic and chain indices, individual and composite indices
- Study Objective:
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Orientation in the issue of economic statistics. Ability to use and interpret statistical analyzes from an economic point of view.
- Study materials:
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1. Descriptive statistics frequencies, measures of location and variability
2. Descriptive statistics variance decomposition
3. Statistical hypothesis testing relative frequency test, mean value test
4. Testing of statistical hypotheses test of equality of mean values, test of dispersion
5. Statistical hypothesis testing test of the agreement of two variances, Chi-square test of goodness of fit
6. Contingency analysis contingency table, McNemar's test
7. One-factor analysis of variance - ANOVA
8. Correlation analysis Pearson's correlation coefficient, Spearmen's order correlation coefficient
9. Regression analysis - linear regression
10. Regression analysis - regression parabola
11. Time series - descriptive characteristics, averages, measures of dynamics
12. Time series - analyses, seasonal components
13. Index analysis - basic and chain indices, individual and composite indices
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
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- Management a ekonomika ve stavebnictví (compulsory course in the program)
- Management a ekonomika ve stavebnictví (compulsory course in the program)
- Management a ekonomika ve stavebnictví (compulsory course in the program)