BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2024
Extent and Intensity
26/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Prerequisites
( BKM_STA1 Statistics I ) || ( BPM_STA1 Statistics 1 ) && FORMA(K)
The basic terms in calculus of probability.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 10 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Learning outcomes
After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of sw. STATSTICA
- interpret properly outputs of analyses
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
    required literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
    recommended literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
Theoretical lectures; computer seminar sessions.
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is taught: in blocks.
Note related to how often the course is taught: 12 hodin.
Information on the extent and intensity of the course: tutorial 12 hodin.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2023
Extent and Intensity
26/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Prerequisites
( BKM_STA1 Statistics I ) || ( BPM_STA1 Statistics 1 ) && FORMA(K)
The basic terms in calculus of probability.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 10 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Learning outcomes
After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of sw. STATSTICA
- interpret properly outputs of analyses
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
    required literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
    recommended literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
Theoretical lectures; computer seminar sessions.
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is taught: in blocks.
Note related to how often the course is taught: 12 hodin.
Information on the extent and intensity of the course: tutorial 12 hodin.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2022
Extent and Intensity
26/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Fri 25. 2. 12:00–15:50 P106, Fri 11. 3. 16:00–19:50 P106, Fri 6. 5. 16:00–19:50 P106
Prerequisites
( BKM_STA1 Statistics I ) || ( BPM_STA1 Statistics 1 )
The basic terms in calculus of probability.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 13 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Learning outcomes
After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of sw. STATSTICA
- interpret properly outputs of analyses
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
    required literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
    recommended literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
Theoretical lectures; computer seminar sessions.
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on the extent and intensity of the course: tutorial 12 hodin.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2021
Extent and Intensity
26/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Fri 5. 3. 12:00–15:50 P106, Fri 12. 3. 16:00–19:50 P106, Fri 16. 4. 16:00–19:50 P106
Prerequisites
( BKM_STA1 Statistics I ) || ( BPM_STA1 Statistics 1 )
The basic terms in calculus of probability.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 13 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Learning outcomes
After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of sw. STATSTICA
- interpret properly outputs of analyses
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
    required literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
    recommended literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
Theoretical lectures; computer seminar sessions.
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on the extent and intensity of the course: tutorial 12 hodin.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2020
Extent and Intensity
26/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Fri 28. 2. 12:00–15:50 P106, Fri 13. 3. 16:00–19:50 P106, Fri 17. 4. 16:00–19:50 P106
Prerequisites
( BKM_STA1 Statistics I ) || ( BPM_STA1 Statistics 1 )
The basic terms in calculus of probability.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 13 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Learning outcomes
After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of sw. STATSTICA
- interpret properly outputs of analyses
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
    required literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
    recommended literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
Theoretical lectures; computer seminar sessions.
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on the extent and intensity of the course: tutorial 12 hodin.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2019
Extent and Intensity
0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Fri 22. 2. 12:00–15:50 P101, Fri 15. 3. 16:00–19:50 P101, Fri 3. 5. 16:00–19:50 P101
Prerequisites
( BKM_STA1 Statistics I ) || ( BPM_STA1 Statistics 1 )
The basic terms in calculus of probability.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Learning outcomes
After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of sw. STATSTICA
- interpret properly outputs of analyses
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
    required literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
    recommended literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
Theoretical lectures; computer seminar sessions.
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2018
Extent and Intensity
0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Fri 23. 2. 12:50–16:15 P101, Fri 16. 3. 16:20–19:35 P101, Fri 27. 4. 16:20–19:35 P101
Prerequisites
( BKM_STA1 Statistics I ) || ( BPM_STA1 Statistics 1 )
The basic terms in calculus of probability.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Learning outcomes
After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of sw. STATSTICA
- interpret properly outputs of analyses
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
    required literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
    recommended literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
Theoretical lectures; computer seminar sessions.
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2017
Extent and Intensity
0/0. 5 credit(s). Type of Completion: graded credit.
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Fri 24. 2. 12:50–16:15 P101, Fri 17. 3. 16:20–19:35 P101, Sat 29. 4. 15:30–18:45 P101
Prerequisites (in Czech)
( BKM_STA1 Statistics I ) || ( BPM_STA1 Statistics 1 )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2016
Extent and Intensity
0/0. 5 credit(s). Type of Completion: graded credit.
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Fri 26. 2. 12:50–16:15 P101, Fri 18. 3. 16:20–19:35 P101, Sat 7. 5. 15:30–18:45 P101
Prerequisites (in Czech)
( BKM_STA1 Statistics I )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
  • BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Information about innovation of course.
This course has been innovated under the project "Inovace studia ekonomických disciplín v souladu s požadavky znalostní ekonomiky (CZ.1.07/2.2.00/28.0227)" which is cofinanced by the European Social Fond and the national budget of the Czech Republic.

logo image
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2015
Extent and Intensity
0/0. 5 credit(s). Type of Completion: graded credit.
Teacher(s)
Mgr. David Hampel, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
RNDr. Luboš Bauer, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Sat 28. 2. 12:50–16:15 P101, Sun 26. 4. 8:30–11:50 P101, Sun 17. 5. 15:30–18:45 P101
Prerequisites (in Czech)
( KMSTAI Statistics I || BKM_STA1 Statistics I ) && (! KMSTII Statistics II )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Nezapisují si studenti, kteří absolvovali předmět KMSTII.
Information about innovation of course.
This course has been innovated under the project "Inovace studia ekonomických disciplín v souladu s požadavky znalostní ekonomiky (CZ.1.07/2.2.00/28.0227)" which is cofinanced by the European Social Fond and the national budget of the Czech Republic.

logo image
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2014
Extent and Intensity
0/0. 5 credit(s). Type of Completion: graded credit.
Teacher(s)
Mgr. David Hampel, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
RNDr. Luboš Bauer, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Sun 23. 3. 8:30–11:50 P101, Sun 27. 4. 8:30–11:50 P101, Sun 18. 5. 15:30–18:45 P101
Prerequisites (in Czech)
( KMSTAI Statistics I || BKM_STA1 Statistics I ) && (! KMSTII Statistics II )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Nezapisují si studenti, kteří absolvovali předmět KMSTII.
Information about innovation of course.
This course has been innovated under the project "Inovace studia ekonomických disciplín v souladu s požadavky znalostní ekonomiky (CZ.1.07/2.2.00/28.0227)" which is cofinanced by the European Social Fond and the national budget of the Czech Republic.

logo image
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2013
Extent and Intensity
0/0. 5 credit(s). Type of Completion: graded credit.
Teacher(s)
Mgr. David Hampel, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
RNDr. Luboš Bauer, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Sun 24. 3. 8:30–11:50 P101, Sun 21. 4. 8:30–11:50 P101, Sun 19. 5. 15:30–18:45 P101
Prerequisites (in Czech)
( KMSTAI Statistics I || BKM_STA1 Statistics I ) && (! KMSTII Statistics II )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Nezapisují si studenti, kteří absolvovali předmět KMSTII.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2012
Extent and Intensity
0/0. 5 credit(s). Type of Completion: graded credit.
Teacher(s)
Mgr. David Hampel, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
RNDr. Luboš Bauer, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Sun 25. 3. 8:30–11:50 P101, Sun 22. 4. 8:30–11:50 P101, Sun 20. 5. 15:30–18:45 P101
Prerequisites (in Czech)
( KMSTAI Statistics I || BKM_STA1 Statistics I ) && (! KMSTII Statistics II )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Nezapisují si studenti, kteří absolvovali předmět KMSTII.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics 2

Faculty of Economics and Administration
Spring 2011
Extent and Intensity
0/0. 5 credit(s). Type of Completion: graded credit.
Teacher(s)
Mgr. David Hampel, Ph.D. (lecturer)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
RNDr. Luboš Bauer, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Timetable
Sun 27. 3. 8:30–11:50 P101, Sun 17. 4. 8:30–11:50 P101, Sun 22. 5. 15:30–18:45 P101
Prerequisites (in Czech)
( KMSTAI Statistics I || BKM_STA1 Statistics I ) && (! KMSTII Statistics II )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 8 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Nezapisují si studenti, kteří absolvovali předmět KMSTII.
The course is also listed under the following terms Spring 2010, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

BKM_STA2 Statistics

Faculty of Economics and Administration
Spring 2010
Extent and Intensity
0/0. 5 credit(s). Type of Completion: graded credit.
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Mgr. David Hampel, Ph.D. (lecturer)
Guaranteed by
RNDr. Luboš Bauer, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Timetable
Sun 28. 3. 8:30–11:50 P101, Sun 18. 4. 8:30–11:50 P101, Sun 23. 5. 8:30–11:50 P101
Prerequisites (in Czech)
( KMSTAI Statistics I || BKM_STA1 Statistics I ) && (! KMSTII Statistics II )
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
Syllabus
  • Basic concepts of mathematical statistics.
  • Experiment design.
  • Information about STATISTICA system.
  • Diagnostics graphs and normality testing.
  • One random normal and alternative sample exercises.
  • Two independent random normal and alternative samples exercises.
  • One-way ANOVA.
  • Nonparametrics tests.
  • Analysis of contingency tables.
  • Correlation analysis. Regression analysis.
Literature
  • BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006, 156 s. ISBN 8021041056. info
  • HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002, 415 s. ISBN 80-86419-26-6. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Nezapisují si studenti, kteří absolvovali předmět KMSTII.
The course is also listed under the following terms Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (recent)