Course syllabus ST1A - Statistics (FBE - WS 2017/2018)

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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: full-time, 2/2 (hours of lectures per week / hours of seminars per week)
Language of instruction: English
Level of course: bachelor
Semester: WS 2017/2018
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). Competence to apply statistical tools and built-in functions of the Microsoft Excell software package.
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 methodDaily attendance
Direct teaching
     lecture26 h
     practice26 h
     preparation for exam30 h
     preparation for regular assessment31 h
     preparation for regular testing20 h
     writing of seminar paper35 h
Total168 h
Assessment methods:
Credit is required for admission to the final exam. During semester, student performance is evaluated upon submission of written project (max. 10 points can be granted) and written midterm exam (max. 40 points can be awarded). In total, a student must receive at least 25 points to obtain the credit. Final exam consists of written and oral part. 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:
TypeAuthorTitlePublished inPublisherYearISBN
RQANDERSON, D R. et al.Statistics for business and economicsLondonThomson Learning2007978-1-84480-313-2
RQWILLIAMS, T A. -- SWEENEY, D J. -- ANDERSON, D R.Contemporary business statistics978-1-111-53421-9
REMaths and statistics for businessEssexLongman Scientific & Technical19950-582-23187-6
REStatistics for businessAmsterdam [u.a.Butterworth-Heinemann2008978-0-7506-8660-0


Last modification made by Ing. Jiří Gruber on 05/22/2017.

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