Course code:  ST1A 
Course title in language of instruction:  Statistics 
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) 
Language of instruction:  English 
Level of course:  bachelor 
Semester:  WS 2019/2020 
Name of lecturer:  doc. Ing. Václav Adamec, Ph.D. (supervisor) RNDr. Karel Mikulášek, Ph.D. (examiner, instructor, lecturer) 
Prerequisites:  Mathematics I 

Aims of the course: 
The course objective is 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). The course is expected to prepare students for use of statistics in economic or managerial reality and elaboration of final diploma projects (theses). 

Course contents: 
1.  Introduction to statistics (allowance 8/8)   a.  The term of statistics, methods, terminology, tables and plots, stages of statistical investigation, frequency tables  b.  Statistical data, characteristics of level, variability, skewness and kurtosis 
 2.  Probability calculations (allowance 6/8)   a.  Elementary terminology of the 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 12/10)   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    Communication in second language    Skilled at utilizing and processing information 
 Specific competences:     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 calculate statistical characteristics, interpret results with applications to data    Students understand diagrams and are able to utilize plots 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  Direct teaching  lecture  26 h  practice  26 h  Selfstudy  preparation for exam  30 h  preparation for regular assessment  31 h  preparation for regular testing  20 h  writing of seminar paper  35 h  Total  168 h 


Assessment methods: 
A student is eligible for the final exam in Statistics, if the following requirements were met: Attending 13 workshop lessons; a reasonable excuse may be accepted for not attending up to two workshops; passing a midterm test by receiving at least 50% of the maximum thirty points; taking active part in the workshops, which includes working on home assignments and presenting the results at the workshops. The final exam is worth 100 points. The minimum score required for a student to pass the exam is 50. The student grade shall be determined from the following table: 50 – 59 E, 60 – 69 D, 70 – 79 C, 80 – 89 B, 90 – 100 A. 

Recommended reading: 
Type  Author  Title  Published in  Publisher  Year  ISBN 

RQ  ANDERSON, D R. et al.  Statistics for business and economics  London  Thomson Learning  2007  9781844803132  RQ  WILLIAMS, T A.  SWEENEY, D J.  ANDERSON, D R.  Contemporary business statistics     9781111534219  RE   Maths and statistics for business  Essex  Longman Scientific & Technical  1995  0582231876  RE   Statistics for business  Amsterdam [u.a.  ButterworthHeinemann  2008  9780750686600 
