Course detail

Statistics 2

FP-stat2KAcad. year: 2024/2025

The course deals with main ideas and methods of point and interval estimates, the most used parametric and nonparametric tests, good fit tests, an analysis of variance, a categorial analysis, linear and nonlinear multiple regression models, time series analysis and exploratory analysis.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Entry knowledge

Fundamentals of a probability theory and a random variable.

Rules for evaluation and completion of the course

COURSE COMPLETION

Preparation of two semester assignments (max. 40 points).

The exam (max. 60 points)
- has a written form with the possibility of using computer technology and consists of four computational examples and a theoretical question.

The grade, corresponding to the total (max. 100 points), which consists of:
- the points for the semester assignments (max. 40 points),
- the results of the solved examples (max. 51 points),
- the quality of the answers to the theoretical questions (max. 9 points).

The grade and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).

Aims

The objective of this course is to familiar students with ideas and methods of point and interval estimates, the most used parametric and nonparametric tests, good fit tests, an analysis of variance, a categorial analysis, linear and nonlinear multiple regression models and time series analysis.
Students will be made familiar with the methods of mathematical statistics, regression analysis, and time series analysis and will learn how to use the respective methods when solving economics problems. After completing this course, students will be able to use statistical tools as a basis for data analysis in the management of individual company activities.

Study aids

see Course literature.
Study materials available on e-learning.

Prerequisites and corequisites

Not applicable.

Basic literature

BUDÍKOVÁ, M.; LERCH, T. a MIKOLÁŠ, Š. Základní statistické metody. Brno: Masarykova univerzita v Brně, 2005. ISBN 80-210-3886-1. hospodářství. Praha : Victoria Publishing, 1995. ISBN 80-7187-058-7.
Studijní materiály dostupné na e-learningu. (CS)

Recommended reading

ARLT, J. a  ARLTOVÁ, M. Ekonomické časové řady. Praha: Professional Publishing, 2009. ISBN 978-808-6946-85
GUJARATI, D. N. a PORTER, D.C. Basic econometrics. 5th ed. Boston: McGraw-Hill Irwin, 2009. ISBN 978-007-3375-779.

Elearning

Classification of course in study plans

  • Programme MGR-UFRP-KS Master's 1 year of study, winter semester, compulsory

Type of course unit

 

Guided consultation in combined form of studies

16 hod., optionally

Teacher / Lecturer

Syllabus

Consultation takes the form of personal meetings or through electronic communication.

Elearning