151-0005/03 – Statistics for economists (SPE)
Gurantor department | Department of Mathematical Methods in Economics | Credits | 6 |
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 | 2 | Semester | winter |
| | Study language | Czech |
Year of introduction | 2024/2025 | Year of cancellation | |
Intended for the faculties | EKF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
- Students will be introduced to statistics as a modern discipline that focuses on random and mass phenomena and processes.
- Students will become familiar with the basic concepts of probability theory, descriptive and inductive statistics.
- Students will learn to use basic statistical methods and tools and discover how these methods can be used to solve economic problems.
- Students will be able to process data on the computers and present the results of analyses in the form of tables, graphs and statistics.
- Students will be able to use the acquired knowledge in other subjects of the Bachelor's study and in processing data for seminar and Bachelor's theses.
Teaching methods
Lectures
Tutorials
Summary
This subject presents an introductory course into statistics. It introduces the basic concepts and methods of probability theory, descriptive statistics and statistical induction. The aim is to learn how to present and analyze statistical data and properly interpret the results.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
continuous credit assignments (examples)
self-test of theoretical knowledge
combined exam - theory + examples
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 mathematics within the scope of the high school curriculum
- ability to work on a PC, fundamentals of MS Excel
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Statistics and statistical thinking
2. Presentation of statistical data
3. Descriptive statistics of categorical data
4. Descriptive statistics of numerical data
5. Pooled and interval data
6. Association, contingency tables
7. Correlation and regression, time series
8. Probability and probability calculations
9. Conditional probability, decision trees
10. Random variable and probability distribution
11. Normal distribution, limit theorems
12. Basics of statistical induction
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.