Economic Statistics
Code  Completion  Credits  Range  Language 

126EKST  Z,ZK  4  1P+2C  Czech 
 Garant předmětu:
 Daniel Macek
 Lecturer:
 Božena Kadeřábková, Daniel Macek
 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, Onefactor 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, Chisquare test of goodness of fit
6. Contingency analysis – contingency table, McNemar's test
7. Onefactor 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, Chisquare test of goodness of fit
6. Contingency analysis – contingency table, McNemar's test
7. Onefactor 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:
 Timetable 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
Mon Tue Wed Thu Fri  Timetable for summer semester 2023/2024:
 Timetable is not available yet
 The course is a part of the following study plans:

 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)