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


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Course code: ST1
Course title in Czech:
Statistics
Course title in English: Statistics
Semester: SS 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:
optional
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: Faculty of Business and Economics
Teachers:
Mgr. Veronika Blašková, Ph.D. (examiner, instructor, lecturer, supervisor)
Ing. Michaela Staňková, Ph.D. (instructor)
Ing. Jakub Šácha, Ph.D. (instructor, lecturer)
Prerequisites:
 
Timetable in this semester:
Day
From-till
RoomTeacherEntryFrequency
Capacity
Note
Monday
9.00-10.50
Q01V. Blašková, J. Šácha
Lecture
Every week
300
 
Tuesday
9.00-10.50
Q32
V. Blašková
Seminar
Every week
35
Cviceni pouze pro opakovače
Tuesday
9.00-10.50
Q26
Seminar
Every week
20Pouze pro studenty s prvním zápisem předmětu!!!!
Tuesday11.00-12.50Q32M. StaňkováSeminar
Every week
32
cvičení pouze pro opakovače
Wednesday9.00-10.50Q48J. ŠáchaSeminar
Every week
30
cvičení pouze pro opakovače
Wednesday
11.00-12.50
Q48
Seminar
Every week
30
cvičení pouze pro opakovače
Thursday
7.00-8.50
Q32
V. BlaškováSeminarEvery week30
cvičení pouze pro opakovače
Thursday9.00-10.50
Q48
Seminar
Every week
30cvičení pouze pro opakovače
Thursday
9.00-10.50Q32V. Blašková
Seminar
Every week
35cvičení pouze pro opakovače
Thursday
11.00-12.50
Q42M. StaňkováSeminarEvery week25Pouze pro studenty s prvním zápisem předmětu!!!!
Friday13.00-13.50
Q36
Tutorial
Occasionally
20
dobrovolná konzultace pro řešení případných dotazů - pouze pro dálkaře
 
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 methodDaily attendanceCombined form
lecture
28 h
16 h
practice24 h0 h
consultation
4 h
0 h
preparation for exam
96 h
131 h
preparation for regular assessment
0 h
15 h
preparation for regular testing10 h
0 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 typeDaily 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:
-- item not defined --
 
Course listed in previous semesters:
Teaching place: Brno


Last modification made by Ing. Jiří Gruber on 02/04/2020.

Type of output: