1. SylabUZ
2. Wydział Matematyki, Informatyki i Ekonometrii
3. semestr zimowy 2023/2024
4. Computer science and econometrics - pierwszego stopnia z tyt. licencjata
5. Descriptive and Economic Statistics

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Descriptive and Economic Statistics - opis przedmiotu

Cel przedmiotu

To familiarize the student with the subsequent stages of statistical research. Development and graphic presentation of statistical material and its description using appropriate measures.

Wymagania wstępne

Zapisz zmiany

Basics of probability and economics.

Zakres tematyczny

1. Data structures - an introduction to chosen statistical package.

2. Classification of statistical data, their grouping and depiction in tabular format.

3. Graphical presentation of the statistical data.

4. Some measures of central tendency. Empirical cumulative distribution function. Box-and-whisker plot.

5. Selected measures of dispersion.

6. Measures of skewness. Sample kurtosis.

7. The Lorenz curve. The Gini coefficient.

8. Correlation between two variables. Scatter diagram. The Pearson correlation coefficient. Linear regression.

9. Rank correlation analysis.

10. Dependence of the nominal variables. Contingency table. Selected measures of association.

11. The Paasche index. The Laspeyres index. The Fisher index.

Metody kształcenia

Application of the statistical package and the relevant theoretical tools to analyse the data.

Efekty uczenia się i metody weryfikacji osiągania efektów uczenia się

Opis efektu	Symbole efektów	Metody weryfikacji	Forma zajęć

Warunki zaliczenia

1. A test with tasks of various levels of difficulty, allowing you to determine the degree of mastery of statistical tools and the ability to draw correct conclusions based on the obtained analysis results.
2. An individually prepared comprehensive report on the processing, graphical presentation and statistical description of a selected data set.

The condition of a positive grade from laboratory is a positive grade of the comprehensive report and a positive grade of the test obtained after obtaining at least 50% of the maximum number of points. The course grade is the arithmetic mean of the test grade and the report grade.

 

Literatura podstawowa

1. Aczel−Sounderpandian, Complete Business Statistics, 7th Edition, The McGraw−Hill Companies  2009.

2. A. M. Goon , M. K. Gupta and B. Dasgupta, Fundamentals of Statistics, Vol. I& II, 8th Edn. The World Press Kolkata 2002.

3. C. Heumann, M. Schomaker and Shalabh, Introduction to Statistics and Data Analysis with Exercises, Solutions and Applications in R. Springer 2016.

Literatura uzupełniająca

1. K. Black, Business Statistics For Contemporary Decision Making, 6th Edition, John Wiley & Sons, Inc. 2010.

Uwagi

Zmodyfikowane przez dr Ewa Synówka (ostatnia modyfikacja: 10-04-2024 19:56)