Economic Statistics

Code	Completion	Credits	Range	Language
126EKST	Z,ZK	4	1P+2C	Czech

Course guarantor:

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, 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: