Course code:  ST1 
Course title in language of instruction:  Statistika 
Course title in Czech:  Statistics 
Course title in English:  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, 16/0 (lectures per period / seminars per period) 
Language of instruction:  Czech 
Level of course:  bachelor 
Semester:  WS 2017/2018 
Name of lecturer:  Mgr. Veronika Blašková, Ph.D. (examiner, instructor, lecturer, supervisor) Ing. Terézia Bobošová (instructor) Ing. Michaela Staňková (instructor) Ing. Jakub Šácha, Ph.D. (examiner, instructor, lecturer) 
Prerequisites:  Mathematics I 

Aims of the course: 
Acquirement of theoretical knowledge and basic calculation procedures in the field of descriptive statistics, probability theory, estimation and inferential statistics (confidence intervals, hypothesis tests, nonparametrics). 

Course contents: 
1.  Introduction to statistics (allowance 8/8)   a.  The term of statistics, methods, therminology, tables and plots, stages of statistical investigation, frequency tables  b.  statistical data, characteristics of level, variability, skewness and kurtosis 
 2.  probability calculations (allowance 10/12)   a.  elementary terminology of probability and distribution theory, definitions  b.  repeated trials, with and without replacement  c.  random variables, probability distribution, distribution function, probability density function, probability mass function  d.  property of random variables  e.  important distributions of continuous and discrete random variables 
 3.  Fundamentals of inferential statistics (allowance 10/8)   a.  Probability distributions of some important test statistics  b.  Population and random sample  c.  Point estimation, construction and properties  d.  Confidence intervals, construction and properties  e.  Statistical hypothesis tests, steps, errors  f.  Parametric and nonparametric tests 



Learning outcomes and competences: 
Generic competences:     ability to analyse and synthesize    ability to apply knowledge    basic computing skills    skilled at utilizing and processing information 
 Specific competences:     Statistical properties of univariate data    student can calculate statistical characteristics, interpret results with applications to data    Students are able to test statistical hypotheses and apply the results in practice    Students are able to work with probabilities and utilize probability and distribution theory in statistical testing.    Students can use graphs to interpret the data 


Type of course unit:  required 
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  16 h  practice  24 h  0 h  consultation  4 h  0 h  Selfstudy  preparation for exam  96 h  131 h  preparation for regular testing  10 h  21 h  elaboration and execution of projects  6 h  0 h  Total  168 h  168 h 


Assessment methods: 
Credit is required for admission to the final exam. During semester, student performance is evaluated upon submission of written project and written midterm exam (max. 40 points can be awarded). In total, a student must receive at least 20 points to obtain the credit. Final exam consists of written and oral part. Computer assisted written exam takes 50 minutes. To pass, student must earn at least 50% total score. Students passing the written part may proceed to the oral exam. 

Recommended reading: 
Type  Author  Title  Published in  Publisher  Year  ISBN 

RQ  HINDLS, R.  HRONOVÁ, S.  SEGER, J.  Statistika pro ekonomy  Praha  Professional Publishing  2003  8086419525  RQ  BLAŠKOVÁ, V.  TIRPÁKOVÁ, A.  MARKECHOVÁ, D.  STEHLÍKOVÁ, B.  MOLL, I.  STŘELEC, L.  Statistika I  Brno  MZLU v Brně  2009  9788073752866  RE  HINDLS, R.  HRONOVÁ, S.  NOVÁK, I.  Analýza dat v manažerském rozhodování  Praha  Grada  1999  8071692557  RE  MAREK, L. et al.  Statistika pro ekonomy: aplikace  Praha  Professional Publishing  2007  9788086946405 
