Course detail

Statistics 2

FP-stat2KAcad. year: 2023/2024

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 and time series analysis.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. RNDr. Bedřich Půža, CSc.

Department

Institute of Informatics (ÚI)

Entry knowledge

Fundamentals of a probability theory and a random variable.

Rules for evaluation and completion of the course

Preparation of two semester assignments.

The exam is written.
In the first part, the student solves 4 examples in 80 minutes. In the second part of the exam, the student works out answers to 3 theoretical questions within 15 minutes.

The mark, 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).

Grades 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 completion of this course students will be prepared to use these methods in economics courses.

Study aids

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

Prerequisites and corequisites

Not applicable.

Basic literature

Studijní materiály dostupné na e-learningu.

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

Recommended reading

GUJARATI, D. N. a D. C. PORTER. Basic econometrics. 5th ed. Boston: McGraw-Hill Irwin, 2009. ISBN 978-007-3375-779.Svoboda, 1977.
ARLT, J. a M. ARLTOVÁ. Ekonomické časové řady. Praha: Professional Publishing, 2009. ISBN 978-808-6946-85

eLearning

eLearning: currently opened course

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 hours, optionally

Teacher / Lecturer

Ing. Karel Doubravský, Ph.D.

Syllabus

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

eLearning

eLearning: currently opened course