151-0009/01 – Master's Statistics for Economists (ISE)
| 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 | 2024/2025 | 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 subject is to introduce students to the most commonly used statistical methods and their application to solve economic problems, but also to improve their logical thinking.
On successful completion of the course, students will have acquired the following knowledge, skills and abilities
- learn to use methods for processing numerical and categorical data and acquire the ability to understand data in relation to real-world problems;
- understand the uncertainty and variability of real-world processes and their impact on decision making;
- learn how to analyse problems, design solutions, generalise conclusions and evaluate the validity of results in relation to given conditions;
- acquire the ability to select and apply appropriate statistical methods to answer questions and solve selected economic problems;
- be able to use selected statistical software to analyse data from real economic problems;
- understand that mastering statistical methods is necessary for every graduate of the Faculty of Economics.
Teaching methods
Lectures
Summary
Statistics is an integral part of the curricula of economics faculties. It is also a necessary prerequisite for the study of other economic subjects. The subject Master's Statistics for
Economists builds on the knowledge of statistics and probability acquired in the Bachelor's programme. Students learn to process and analyse statistical data using descriptive statistics and statistical induction (statistical estimation, tests), which are the basis of many techniques used in economics 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:
Way of continuous check of knowledge in the course of semester
active participation in exercises
completion and electronic submission of ongoing assignments
verification of practical skills through a continuous test
combined examination - theoretical and practical part
E-learning
The course is supported by an interactive course in the LMS Moodle.
Ongoing assignments are submitted and assessed via LMS Moodle.
Other requirements
Undergraduate knowledge of statistics and probability (e.g. Statistics for Economists).
Intermediate level skills in Microsoft Excel (ECDL).
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Basics of descriptive statistics - review.
2. Population and sampling.
3. Estimation of population parameters.
4. Testing statistical hypotheses.
5. Two sample parametric tests.
6. Nonparametric comparison tests.
7. Analysis of variance ANOVA.
8. Selected nonparametric tests.
9. Measuring the dependence of categorical variables.
10. Simple linear correlation and regression.
11. Estimating and testing regression models.
12. Multiple and nonlinear regression models.
13. Research methods and statistics.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.