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Aims of the course: |
The aim of the first part of this classwork is to get students acquainted with elements of probability, elementary statistical conceptions and possibilities of data analyzing and prezenting as well as with some elements of deductive and inductive ways of thinking. The aim of the second part is to get students acquainted with most used statistical procedures and methods, with conditions for their use, advantages and shortcomings and to teach students correctly interpret results. |
Learning outcomes and competences: |
Upon successful completion of this course, students will be able to select suitable statistical method for the description and analysis of given economic problem and to interpret the results obtained with the use of statistical method applied including the interpretation of computer outputs. |
Course contents: |
- analysis of one-dimensional statistical data |
7 Feb, 2018
Aims of the course: |
It acquaints students with elementary statistical conceptions, data analysis and presentation. Attention is focused especially on the most commonly used statistical procedures and methods. |
Learning outcomes and competences: |
Upon successful completion of this course, students will be able to select a suitable statistical method for analysis of given economic problem and to interpret the results obtained with the use of statistical approach. |
Course contents: |
- analysis of one-dimensional statistical data |
7 Feb, 2018
Aims of the course: |
The subject is aimed at extending and perfecting student’s knowledge of probability and mathematical statistics. |
Learning outcomes and competences: |
Upon successful completion of this course, students will be able to apply probability and mathematical statistics and interpret results of these applications correctly. |
Course contents: |
1. Introduction to probability calculus |
Aims of the course: |
The course is designed for all students interested in deepening their knowledge of statistical concepts in the English language; it broadens the mastery of procedures and methods of statistical data analysis. The understanding of the course content in Czech is an advantage, nevertheless, it is not a requirement. The aim of the first part of this course is to get students acquainted with the elements of probability, elementary statistical concepts, data analysis and presentation as well as some elements of deductive and inductive ways of thinking. The aim of the second part is to get students acquainted with the principles of the most widely used statistical methods and conditions for their use and to teach students to correctly interpret the results. |
Learning outcomes and competences: |
After a successful completion of this course, students will be able to apply the most important elementary statistical methods. Furthermore, students will be able to select a suitable statistical method for the description and analysis of a given problem and interpret the results obtained with the use of the method selected. Students will be able to present the achieved results in English and they will understand spoken and written texts on corresponding subjects. |
Course contents: |
Elementary descriptive statistics |
Aims of the course: |
The aim of the first part of this course is to get students acquainted with elements of probability, elementary statistical concepts and possibilities of data analyzing and presenting as well as some elements of deductive and inductive ways of thinking. The aim of the second part is to get students acquainted with principles of the most used statistical methods and with conditions for their use and to teach students to correctly interpret the results. |
Learning outcomes and competences: |
Upon successful completion of this course, students will be able to apply the most important statistical methods. Further, students will be able to select suitable statistical method for the description and analysis of a given problem and interpret the results obtained with the use of the statistical method applied. |
Course contents: |
Elementary descriptive statistics (frequencies, measures of central tendency and dispersion, ...) |
Aims of the course: |
Regression analysis is a very important tool used for studying relationships between variables. The course provides an insight into the concept of linear regression models. Properties of ordinary least square estimates of the parameters of these models are provided. A brief discussion of other techniques which are relevant to regression analysis (such as non-parametric regression, robust regression, bootstrapping etc.) is also included. The course also provides a guide how to apply the methods to real data. |
Learning outcomes and competences: |
Upon successful completion of this course, students will be able to understand linear regression models, their properties and limitations. They will understand the concept of linear regression models in a wider context. Students will be able to apply the methods to real data. |
Course contents: |
* Regression model, linear regression model |