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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2025/2026

Economic Statistics

The course is not on the list Without time-table
Code Completion Credits Range Language
126EKST Z,ZK 4 1P+2C Czech
Course guarantor:
Lecturer:
Tutor:
Supervisor:
Department of Construction Management and Economics
Synopsis:

The content of the subject is applied economic statistics. Familiarization with statistical theory and subsequent application to solved examples.

Requirements:

they are not

Syllabus of lectures:

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:

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:

Orientation in the issue of economic statistics. Ability to use and interpret statistical analyzes from an economic point of view.

Study materials:

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:
Data valid to 2025-03-14
For updated information see http://bilakniha.cvut.cz/en/predmet6280006.html