Course detail

# Statistics

The fundamentals of probability theory, random events, random variables, random vectors, decision-making under risk, analysis of indicies.

Learning outcomes of the course unit

Students will be made familiar with the fundamentals of probability theory, decision-making under risk and index numbers, and will learn how to use its methods to solve economic problems. After completion of this course students will be prepared to study economic topics working with uncertainty.

Prerequisites

Fundamentals of linear algebra and mathematical analysis.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

HINDLS, R. aj. Analýza dat v manažerském rozhodování. Praha : Grada Publishing, 1999. ISBN 80-7169-255-7. (CS)
KROPÁČ, J. Statistika A. 5. vyd. CERM, Brno. 2013. ISBN 978-80-7204-835-9. (CS)
SEGER, J. aj. Statistické metody v tržním hospodářství. Praha : Victoria Publishing, 1995. ISBN 80-7187-058-7. (CS)
SWOBODA, H. Moderní statistika. Praha : Svoboda, 1977. (CS)

Planned learning activities and teaching methods

The course contains lectures that explain basic principles, problems and methodology of the discipline, and exercises that promote the practical knowledge of the subject presented in the lectures.

Assesment methods and criteria linked to learning outcomes

COURSE-UNIT CREDIT: The course-unit credit is awarded on the following conditions:
- participation on courses
- at least 15 point achieved in control tests till the end of 13th week

EXAM: The exam has a written form.

The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:
- points achieved in control tests
- points achieved in exam

A (100-90), B (89-83), C (82-76), D (75-69), E (68-60), F (59-0).

Language of instruction

Czech

Work placements

Not applicable.

Course curriculum

Classical probaility.
Conditional probability.
Random events.
Random variables.
Discrete random variables.
Special discrete random variables.
Continuous random variables.
Special continuous random variables.
Discrete two-dimensional random vector.
Invidiual index
Aggregate index

Aims

The objective of the course is to make students familiar with the fundamentals of probability theory.
They will be able to study economic topics working with uncertainty, and to solve the problems related to these topics applying the methods of this theory.

Specification of controlled education, way of implementation and compensation for absences

Attendance at lectures is not compulsory, but is recommended.
Attendance at seminars is required and checked by the tutor.

Classification of course in study plans

• Programme BAK Bachelor's

branch BAK-EP , 2. year of study, summer semester, 5 credits, compulsory

#### Type of course unit

Lecture

13 hours, optionally

Teacher / Lecturer

Exercise

26 hours, compulsory

Teacher / Lecturer

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