Course code:  RRAS 
Course title in language of instruction:  Aplikovaná statistika 
Course title in Czech:  Applied Statistics 
Course title in English:  Applied Statistics 
Mode of completion and number of credits:  Exam (6 credits) (1 ECTS credit = 28 hours of workload) 
Mode of delivery/Timetabled classes:  fulltime, 2/2 (hours of lectures per week / hours of seminars per week) parttime, 20/0 (lectures per period / seminars per period) 
Language of instruction:  Czech 
Level of course:  bachelor 
Semester:  WS 2018/2019 
Name of lecturer:  doc. Ing. Kristina Somerlíková, Ph.D. (examiner, instructor, lecturer, supervisor) 
Prerequisites:  not Applied Statistics in English 

Aims of the course: 
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 contents: 
1.  Introduction into statistics (allowance 2/4)   a.  The term of statistics, methods, terminology, stages of statistical investigation  b.  Statistical means of expressing results, tables and diagrams  c.  Univariate statistical series, distribution of frequencies, variable classification  d.  Important values: extremes, mode, quantiles  e.  Analysis of structure, Lorenz curve and Gini index 
 2.  Descriptive statistics (allowance 4/10)   a.  Measuring the location and variability  b.  Moments and system of moment characteristics  c.  Basic types of statistical dependencies, terminology  d.  Regression and the least squares method, correlation index, determination  e.  Simple linear correlation, joint regression lines and correlation coefficient  f.  Classification of categorical data, analysis of contingency tables 
 3.  Statistical dynamics (allowance 6/14)   a.  Time series, definition, types, derived time series  b.  Elementary characteristics of dynamic events; moving averages  c.  Description of trend; trivial model of seasonality; assessment of model quality  d.  Measurements and comparisons of magnitude of particular events, types of quantities for comparisons, definitions and types of relative numbers  e.  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 outcomes and competences: 
Generic competences:     Ability to solve problems    Ability to work independently    Basic computing skills    Science and research skills    Skilled at utilizing and processing information 
 Specific competences:     Ability of numeric and graphic presentation of mass data analysis    Ability to analyse mass sectional and dynamic data    Ability to interpret results and to apply statistical knowledge    Ability to manage basic principles of quantitative and qualitative mass data collection and processing 


Type of course unit:  optional 
Year of study:  Not applicable  the subject could be chosen at anytime during the course of the programme. 
Work placement:  There is no compulsory work placement in the course unit. 
Recommended study modules:   

Learning activities and study load (hours of study load): 
Type of teaching method  Daily attendance  Combined form  Direct teaching  lecture  28 h  20 h  practice  28 h  0 h  Selfstudy  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  Total  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. 60minute written exam, 50 % theory, 50 % examples, with 50% pass rate each. 

Recommended reading: 
Type  Author  Title  Published in  Publisher  Year  ISBN 

RQ  HINDLS, R. et al.  Statistika pro ekonomy  Praha  Professional Publishing  2007  9788086946436  RQ  MINAŘÍK, B.  Statistika I: popisná statistika.  Brno  Mendelova zemědělská a lesnická univerzita v Brně  2008  9788073751524  RQ  MAREK, L. et al.  Statistika pro ekonomy: aplikace  Praha  Professional Publishing  2007  9788086946405  RE  Minařík, B. Statistika. Elearningová studijní opora ve formátu PDF (dostupná v UIS). 
