151-0434/05 – Statistics B (StatB)
Gurantor department | Department of Mathematical Methods in Economics | Credits | 5 |
Subject guarantor | doc. Ing. Václav Friedrich, Ph.D. | Subject version guarantor | doc. Ing. Václav Friedrich, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2019/2020 | Year of cancellation | |
Intended for the faculties | EKF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The main objective of the course Statistics B is not only to learn basic knowledge of statistics, procedures and methods, but also to extend logical thinking.
Upon successful completion of this course, students will acquire the following knowledge, skills and abilities:
• they will gain the ability to understand data in relation to real world problems;
• they will understand the uncertainty and variability of processes and their influence on decision making;
• they will learn to analyse problems, propose a solution procedure, generalize the conclusions and evaluate the correctness of the results with respect to the given conditions;
• they will be able to use appropriate statistical methods to find answers to questions and solutions of selected economic problems;
• they will understand that mastery of statistical methods is necessary for every graduate of the Faculty of Economics.
Teaching methods
Lectures
Individual consultations
Summary
Statistics is an integral part of curricula at the economic faculties. It is also the necessary prerequisite to study other economic subjects. In the course Statistics B the knowledge of statistics and probability theory obtained in the bachelor‘s study is extended. The students will get acquainted with the system of economic indicators used in the Czech Republic and the EU, they will learn to process and analyse statistical data using methods of descriptive statistics and statistical induction (statistical estimates, tests), which are the basis of many techniques used in economy and business (market research, production planning, quality control, managerial decision making and forecasting, personnel policy, etc.). When working with data, appropriate statistical software is used.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
- elaboration of ongoing tasks and their submission in electronic form
- combined exam - theoretical and practical part
E-learning
- The subject is supported by an interactive course in LMS Moodle.
- Ongoing tasks are submitted and assessed via LMS Moodle.
Other requirements
- Knowledge of statistics at undergraduate level (e.g. Statistics for Economists).
- Working with Microsoft Excel at a basic level.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Population and random sampling.
2. Distribution of random sampling characteristics.
3. Estimates of population parameters.
4. Testing of statistical hypotheses.
5. One-sample parametric statistical tests.
6. Two-sample comparative parametric tests.
7. Analysis of variance (ANOVA).
8. Selected non-parametric tests.
9. Measurement of independence of categorical variables.
10. Simple linear correlation and regression.
11. Multiple linear regression and correlation.
12. Nonlinear regression models.
13. Time series analysis.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction