CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

# Economic Statistics

Code Completion Credits Range Language
126EKST Z,ZK 4 1P+2C Czech
Garant předmětu:
Daniel Macek
Lecturer:
Tutor:
Daniel Macek
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:
Time-table for winter semester 2023/2024:
 06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00 roomTH:B-37708:00–09:50(lecture parallel1parallel nr.103)Thákurova 7 (budova FSv)B377 roomTH:B-37708:00–09:50(lecture parallel1parallel nr.101)Thákurova 7 (budova FSv)B377roomTH:C-22114:00–15:50EVEN WEEK(lecture parallel1)Thákurova 7 (budova FSv)C221 roomTH:B-37712:00–13:50(lecture parallel1parallel nr.102)Thákurova 7 (budova FSv)B377
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-04-21
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet6280006.html