Course syllabus ST1 - Statistics (FBE - WS 2019/2020)


     Czech          English          


Course code: ST1
Course title in Czech:
Statistics
Course title in English:
Statistics
Semester: WS 2019/2020
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, 16/0 (lectures per period / seminars per period)
Level of course:
bachelor
Course type: required
Type of delivery:
usual
Mode of delivery for our mobility students abroad:
-- item not defined --
Language of instruction:
Czech
Course supervisor:
Mgr. Veronika Blašková, Ph.D.
Course supervising department: Department of Statistics and Operation Analysis (FBE)
Faculty:
Teachers:
Mgr. Veronika Blašková, Ph.D. (examiner, instructor, lecturer, supervisor)
Ing. Michaela Staňková, Ph.D. (examiner, instructor)
doc. Ing. Luboš Střelec, Ph.D. (examiner, instructor)
Ing. Jakub Šácha, Ph.D. (examiner, instructor, lecturer)
Ing. Terézia Vančová (examiner, instructor)
Prerequisites:
 
Timetable in this semester:
DayFrom-tillRoom
Teacher
Entry
Frequency
Capacity
Note
Monday
9.00-10.50
Q02
Lecture
Every week
180
 
Monday11.00-12.50Q01V. Blašková, J. Šácha
Lecture
Every week
361
 
Tuesday9.00-10.50Q22
Seminar
Every week
28
 
Tuesday9.00-10.50Q44T. VančováSeminar
Every week
28
 
Tuesday
11.00-12.50
Q22
SeminarEvery week
40
pouze pro opakující studenty- musí mít splněný alespoň projekt
Wednesday
9.00-10.50Q41J. ŠáchaSeminar
Every week
28
 
Wednesday
9.00-10.50
Q48T. Vančová
Seminar
Every week
28
 
Wednesday
9.00-10.50
Q32
Seminar
Every week50pouze pro opakující studenty- musí mít splněný alespoň projekt
Wednesday
11.00-12.50
Q32
Seminar
Every week
30
 
Wednesday
11.00-12.50
Q48T. Vančová
Seminar
Every week
28
 
Thursday7.00-8.50Q33SeminarEvery week30 
Thursday
9.00-10.50
Q44Seminar
Every week
28 
Thursday
9.00-10.50
Q48
T. VančováSeminar
Every week
28 
Thursday
9.00-10.50
Q33V. Blašková
Seminar
Every week
40
pouze pro opakující studenty- musí mít splněný alespoň projekt
Thursday
11.00-12.50
Q41
M. StaňkováSeminar
Every week
28
 
Thursday11.00-12.50Q33Seminar
Every week
28
 
Thursday
11.00-12.50
Q44
Seminar
Every week
28
 
Friday
9.00-12.50
Q32
Lecture
Occasionally
48
 
Friday
11.00-12.50Q44M. StaňkováSeminar
Every week
28
 
 
Aim of the course and learning outcomes:
Acquirement of theoretical knowledge and basic calculation procedures and interpretation in the field of descriptive statistics, probability theory, estimation and inferential statistics (confidence intervals, hypothesis tests, nonparametrics).
 
Course content:
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 activities and teaching methods:
Type of teaching method
Daily attendance
Combined form
lecture28 h16 h
practice
24 h
0 h
consultation
4 h
0 h
preparation for exam96 h
131 h
preparation for regular assessment
0 h
15 h
preparation for regular testing
10 h0 h
elaboration and execution of projects
6 h
6 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.
 
Assessment criteria ratio:
Requirement type
Daily attendance
Combined form
Total
0 %
0 %
 
Recomended reading and other learning resources:
Basic:
HINDLS, R. -- HRONOVÁ, S. -- SEGER, J. Statistika pro ekonomy. 4th ed. Praha: Professional Publishing, 2003. 415 p. ISBN 80-86419-52-5.
BLAŠKOVÁ, V. -- TIRPÁKOVÁ, A. -- MARKECHOVÁ, D. -- STEHLÍKOVÁ, B. -- MOLL, I. -- STŘELEC, L. Statistika I. 1st ed. Brno: MZLU v Brně, 2009. 228 p. ISBN 978-80-7375-286-6.

Recommended:
HINDLS, R. -- HRONOVÁ, S. -- NOVÁK, I. Analýza dat v manažerském rozhodování. 1st ed. Praha: Grada, 1999. 358 p. ISBN 80-7169-255-7.
MAREK, L. et al. Statistika pro ekonomy: aplikace. 2nd ed. Praha: Professional Publishing, 2007. 485 p. ISBN 978-80-86946-40-5.

Course listed in study plans for this semester:
Field of study B-SE-EI Economic informatics, full-time form, initial period WS 2017/2018
Field of study B-EM-ME Economics and Management, full-time form, initial period SS 2017/2018
Field of study B-EM-ME Economics and Management, part-time form, initial period SS 2017/2018
Field of study B-EM-TM Tourism Management, full-time form, initial period WS 2018/2019
Field of study B-EM-ME Economics and Management, full-time form, initial period WS 2018/2019
Field of study B-EM-SE Social economics, full-time form, initial period WS 2018/2019
Field of study B-EPA-F Finances, full-time form, initial period WS 2018/2019
Field of study B-EPA-PA Public administration, full-time form, initial period WS 2018/2019
Field of study B-EM-TM Trade management, full-time form, initial period WS 2018/2019
Field of study B-EM-ME Economics and Management, part-time form, initial period WS 2018/2019
 
Course listed in previous semesters: WS 2020/2021, SS 2019/2020, SS 2018/2019, WS 2018/2019, SS 2017/2018, WS 2017/2018 (and older)
Teaching place:
Brno


Last modification made by Ing. Jiří Gruber on 09/12/2019.

Type of output: