Statistical Methods I

Creating ability to apply advanced statistical techniques. The course is aimed at both theoretical knowledge and ability to apply this knowledge in practical applications in order to resolve actual problems related to the data analysis. The proposed scope is extension of the basic course in statistics and covers the following areas: selected distributions, estimation methods, statistical tests, elements of multidimensional statistics, analysis of variance, statistical inference in regression models without classical assumptions. The course develops the ability to conduct advanced data analyses, necessary in numerous areas, inter alia: economics, management, marketing, banking, insurance, demography.

Wiedza:

A student is supposed to know how to derive estimators and to analyse their properties.

A student is supposed to know principles of statistical testing.

A student is supposed to be able to model multidimensional correlations.

A student is supposed to know principles of statistical inference in regression models.

Umiejętności:

A student is supposed to be able to understand statistical data.

A student is supposed to be able to translate the problems to statistical models.

A student is supposed to describe the data necessary to resolve the problem.

A student is supposed to be able to apply appropriate statisticsl tools.

A student is supposed to be able to interpret the results and evaluate their reliability.

Kompetencje społeczne:

Ability to rational evaluation of economic and social phenomenons.

Understanding necessity to apply strict sciences in evaluation of economic and social processes.