Course syllabus RRAS - Applied Statistics (FRDIS - SS 2016/2017)

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Course code:
Course title in Czech:
Applied Statistics
Course title in English:
Applied Statistics
SS 2016/2017
Mode of completion and number of credits:
Exam (6 credits)
Mode of delivery and timetabled classes: full-time, 2/2 (hours of lectures per week / hours of seminars per week)
part-time, 20/0 (lectures per period / seminars per period)
Level of course: bachelor
Course type:
Type of delivery:
usual, consulting
Mode of delivery for our mobility students abroad:
-- item not defined --
Language of instruction:
Course supervisor:
Course supervising department:
Department of Applied Statistics and Demography (FRDIS)
Teachers: doc. Ing. Kristina Somerlíková, Ph.D. (examiner, instructor, lecturer, supervisor)
Timetable in this semester:
-- item not defined --
Aim of the course and learning outcomes:
Acquirement of theoretical knowledge and basic calculation procedures in the field of descriptive statistics, assessment of relationships between numerical and categorical variables, description of time series and statistical comparisons as applied to social and economic processes. Skills to use statistical tools and functions of Microsoft Excell package.
Course content:
Introduction into statistics (allowance 2/4)
a.The term of statistics, methods, terminology, stages of statistical investigation
Statistical means of expressing results, tables and diagrams
Univariate statistical series, distribution of frequencies, variable classification
Important values: extremes, mode, quantiles
Analysis of structure, Lorenz curve and Gini index

Descriptive statistics (allowance 4/10)
Measuring the location and variability
b.Moments and system of moment characteristics
c.Basic types of statistical dependencies, terminology
Regression and the least squares method, correlation index, determination
Simple linear correlation, joint regression lines and correlation coefficient
Classification of categorical data, analysis of contingency tables

Statistical dynamics (allowance 6/14)
a.Time series, definition, types, derived time series
b.Elementary characteristics of dynamic events; moving averages
Description of trend; trivial model of seasonality; assessment of model quality
Measurements and comparisons of magnitude of particular events, types of quantities for comparisons, definitions and types of relative numbers
Indices in wide and narrow sense, concept, types. Individual complex indices
f.Aggregate indices, value index and related indices, decomposition of indices and corresponding absolute differences

Learning activities and teaching methods:
Type of teaching method
Daily attendance
Combined form
28 h20 h
28 h
0 h
preparation for exam
60 h
48 h
preparation for regular assessment
12 h
40 h
preparation for regular testing40 h
0 h
elaboration of reports
0 h
60 h
168 h168 h
Assessment methods:
Solution of 6 practical examples to be solved individually and 2 partial tests (collectively, they may grant some extra points to final exam results) within semester. 60-minute written exam, 50 % theory, 50 % examples, with 50% pass rate each.
Assessment criteria ratio:
Requirement type
Daily attendance
Combined form
0 %
0 %
Recomended reading and other learning resources:
HINDLS, R. et al. Statistika pro ekonomy. 8th ed. Praha: Professional Publishing, 2007. 415 p. ISBN 978-80-86946-43-6.
MINAŘÍK, B. Statistika I: popisná statistika. 3rd ed. Brno: Mendelova zemědělská a lesnická univerzita v Brně, 2008. ISBN 978-80-7375-152-4.
MAREK, L. et al. Statistika pro ekonomy: aplikace. 2nd ed. Praha: Professional Publishing, 2007. 485 p. ISBN 978-80-86946-40-5.

Minařík, B. Statistika. E-learningová studijní opora ve formátu PDF (dostupná v UIS).

Course listed in study plans for this semester:
Programme B-RED Regional Development, full-time form, initial period WS 2015/2016
Field of study B-ITS-IDSA International Development Studies, full-time form, initial period WS 2015/2016
Field of study B-RD-SEDR Socioeconomic and Environmental Development of Regions, full-time form, initial period WS 2015/2016
Course listed in previous semesters: WS 2020/2021, SS 2019/2020, WS 2019/2020, SS 2018/2019, WS 2018/2019, SS 2017/2018 (and older)
Teaching place: -- item not defined --

Last modification made by Bc. Vít Karber on 11/25/2016.

Type of output: