Course detail
Statistics
FP-statPAAcad. year: 2020/2021
Pro používání statistických dat je nezbytné pochopení vyjadřovacích prostředků statistiky. Bez zvládnutí principů zkoumání závislostí a měření ukazatelů nelze správně navrhovat ani používat výsledky statistických šetření. V předmětu studenti získají základní znalosti z náhodných veličin, matematické statistiky, regresní analýzy a časových řad a budou schopni je aplikovat v ekonomických problémech. Po absolvování předmětu budou připraveni pro studium ekonomických předmětů, uvažujících náhodu. Důraz je kladen na pochopení možností těchto metod a na interpretaci výsledků.
Supervisor
Department
Learning outcomes of the course unit
Students will be made familiar with the fundamentals of random variables, mathematical statistics, analysis of index numbers, regression analysis and time series and will learn how to use its methods to solve economic problemes. After completion of this course students will be prepared to study economic topics working with uncertainty.
Prerequisites
Fundamentals of linear algebra and mathematical analysis.
- compulsory prerequisite
Co-requisites
Not applicable.
Recommended optional programme components
Not applicable.
Recommended or required reading
HATCHER, L.. Advanced statistics in research: reading, understanding, and writing up data analysis results. Saginaw, MI: ShadowFinch Media, 2013, 632 s. ISBN 978-0-9858670-0-3. (EN)
KROPÁČ, J. Statistika . 2. vyd. CERM, Brno, 2012. ISBN 978-80-7204-835-9.
LITSCHMANNOVÁ, M. Úvod do statistiky, elektronická skripta a doplňkové interaktivní materiály, 2012. (CS)
SKALSKÁ, H. Aplikovaná statistika. Hradec Králové: Gaudeamus, 2013, 233 s. ISBN 978-80-7435-320-8. (CS)
HEBÁK, P. Statistické myšlení a nástroje analýzy dat. 2. vydání. Praha: Informatorium, 2015, 877 s. ISBN 978-80-7333-118-4. (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
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
- oral part.
The grades and corresponding points:
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
Random events.
Discrete random variables.
Continuous random variables.
Processing data samples.
Tests of statistical hypotheses.
Composite and aggregate index numbers.
Regression analysis.
Time series.
Aims
The objective of the course is to make students familiar with the fundamentals of random variables, mathematical statistics, analysis of index numbers, regression analysis and time series. They will be able to study economic topics working with uncertainty, and to solve 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 exercises is required and checked by the tutor. An excused absence of a student from seminars can be compensated for by submitting solution of alternate exercises.
Type of course unit
Guided consultation in combined form of studies
16 hours, optionally
Teacher / Lecturer