151-0503/05 – Statistics A (StatA)
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 | summer |
| | Study language | English |
Year of introduction | 2012/2013 | Year of cancellation | 2022/2023 |
Intended for the faculties | EKF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The aim is
-to learn students how to present a set of data by tables, graphs and descriptive measures,
-to make them acquainted with some parts of probability theory, especially with the term random variable, that is one of tools for description of uncertainity of real economical situations,
-to make them able to use basic types of probability distributions for solution of practical cases,
-to make them know the principles of some methods of statistical inference and use them for estimating and testing population parameters,
-to give the view of regression and correlation analysis.
Teaching methods
Lectures
Tutorials
Summary
Předmět představuje vstupní kurs do problematiky pravděpodobnosti a
statistiky. Poskytuje základy k dovednosti popisovat náhodné procesy v
ekonomii pomocí náhodných proměnných. Seznamuje se základy deskriptivní statistiky, statistické indukce, regresní analýzy, korelační analýzy.
Compulsory literature:
Teaching material of respective teachers.
Recommended literature:
Way of continuous check of knowledge in the course of semester
credit test during semester (examples)
self test of theoretical knowledge
combined exam - theory + examples
E-learning
The course is supported by e-learning course in LMS Moodle.
Other requirements
knowledge of mathematics within the scope of the course Mathematics A
practical knowledge of informatics (basics of work in MS Excel)
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Statistics and Statistical Thinking
2. Combinatorial Calculations
3. Describing Data Sets I - Distribution Tables and Charts
4. Describing Data Sets II - Individual, Grouped, and Binned Data
5. Probability and Probability Calculations
6. Discrete Random Variables
7. Continuous Random Variables
8. Normal Distribution
9. Point and Interval Estimates
10. Hypothesis Testing about Mean and Proportion
11.
12. Correlation and Regression
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.