8342936908

Name of the course: DESCRIPTIVE STATISTICS						Course codę: 14.3.III.71AI05J8
Name of the unit giving the course: Department of Statistics and Econometrics / Department of Insurance and Capital Markets
Name of the field of study: Economics and IT Applications
Form of studies: Full-time Bachelor			Education profile: academic			Specialization:
Year / semester 1 year /1 semester			Course/module status: Field of study			Course/module language: english
Form of the course	lecture	exercises		laboratories	corwers.		seminar	oliw
Number of hours	30	30

Course/module coordinator

Dominik Rozkrut, PhD, [e-mail]

Goal of the course/module

Course requirements

The aim of the course is to acquire basie knowledge of a quantitative description of economic and social effects as well as ability to present the results of socio-economic phenomena, both conducted by students and also secondary research.

-    knowledge of basie economic concepts,

-    use of the methods from the "Mathematics" module,

-    the ability to read and understand a logical argument.

Course content

Form of the course - lecture

1 Types of statistical surveys, definition of statistical unit and collective, statistical surveys subject; types of features, measurement scales, methods of statistical materiał presentation, problems of collectives presentation by characteristics measured on different scales. The structure of mass processes.

2 Characteristics of one-dimensional collectives, empirical distributions of socio-economic features, moments and quantiles for metric scales, measures of central tendency, measures of dispersion, measures of asymmetry, measures of concentration (flattening).

3    Indicators - a description of the structure and intensity of the phenomena. The harmonie mean. Index of structures similarity.

4    Presentation of the two-dimensionally described collectivity, tables and ranks for collectivities described in two dimensions depending on the scalę of measurement, types of relationships between the characteristics of social phenomena;

5 Correlation coefficients: Pearson and Spearman, coefficients based on y} statistics, variance equality, correlation relationships.

6 Empirical and theoretical regression, the method of least squares for iinear regression, measures of regression fit.

7 Introduction to the analysis of collectivity described in many dimensions, multiply and partial correlation.

8 Characteristics of changes in time of economic and social phenomena. Time series, chronological mean. Analysis of short-term changes, individual indices, the average ratę of change, average absolute inerease.

9 Aggregate indexes. Research and standardization of basket of goods, study of prices, price index for