Course syllabus RRAS - Applied Statistics (FRDIS - WS 2017/2018)

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Course code:
Course title in Czech: Applied Statistics
Course title in English:
Applied Statistics
WS 2017/2018
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:
Course type: optional
Type of delivery: consulting
Mode of delivery for our mobility students abroad:
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Language of instruction:
Course supervisor:
doc. Ing. Kristina Somerlíková, Ph.D.
Course supervising department: Department of Applied Statistics and Demography (FRDIS)
Faculty: Faculty of Regional Development and International Studies
Teachers: doc. Ing. Kristina Somerlíková, Ph.D. (examiner, instructor, lecturer, supervisor)
Prerequisites: not Applied Statistics in English
Timetable in this semester:
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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)
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

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

Statistical dynamics (allowance 6/14)
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
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 h
20 h
28 h
0 h
preparation for exam
60 h
48 h
preparation for regular assessment
12 h
40 h
preparation for regular testing
40 h
0 h
elaboration of reports
0 h
60 h
168 h
168 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 typeDaily attendanceCombined 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:
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Course listed in previous semesters:
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Last modification made by Bc. Vít Karber on 06/27/2017.

Type of output: