MAS02 Applied statistics II

Faculty of Science
Spring 2024
Extent and Intensity
2/0/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 19. 2. to Sun 26. 5. Tue 8:00–9:50 M2,01021
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 198 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA and covariance analysis; introduction of cluster analysis, discrimination analysis, factor analysis.
Learning outcomes
After completing the course the student is able to:
evaluate dependencies between two or more variables;
model the dependencies between variables;
summarize the information contained in a large number of variables into a small number of new variables;
classify objects into groups based on quantitative variables.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Covariance analysis.
Literature
    recommended literature
  • HEBÁK, Petr. Statistické myšlení a nástroje analýzy dat. 2. vydání. Praha: Informatorium, 2015, 877 stran. ISBN 9788073331184. info
    not specified
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
Teacher's information
The lessons are usually in Czech or in English as needed, and the relevant terminology is always given with English equivalents.

The target skills of the study include the ability to use the English language passively and actively in their own expertise and also in potential areas of application of mathematics.

Assessment in all cases may be in Czech and English, at the student's choice.

The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2025
Extent and Intensity
2/0/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 198 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA and covariance analysis; introduction of cluster analysis, discrimination analysis, factor analysis.
Learning outcomes
After completing the course the student is able to:
evaluate dependencies between two or more variables;
model the dependencies between variables;
summarize the information contained in a large number of variables into a small number of new variables;
classify objects into groups based on quantitative variables.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Covariance analysis.
Literature
    recommended literature
  • HEBÁK, Petr. Statistické myšlení a nástroje analýzy dat. 2. vydání. Praha: Informatorium, 2015, 877 stran. ISBN 9788073331184. info
    not specified
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
Teacher's information
The lessons are usually in Czech or in English as needed, and the relevant terminology is always given with English equivalents.

The target skills of the study include the ability to use the English language passively and actively in their own expertise and also in potential areas of application of mathematics.

Assessment in all cases may be in Czech and English, at the student's choice.

The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

MAS02 Applied statistics II

Faculty of Science
Spring 2023
Extent and Intensity
2/0/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 8:00–9:50 M1,01017
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 198 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA and covariance analysis; introduction of cluster analysis, discrimination analysis, factor analysis.
Learning outcomes
After completing the course the student is able to:
evaluate dependencies between two or more variables;
model the dependencies between variables;
summarize the information contained in a large number of variables into a small number of new variables;
classify objects into groups based on quantitative variables.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Covariance analysis.
Literature
    recommended literature
  • HEBÁK, Petr. Statistické myšlení a nástroje analýzy dat. 2. vydání. Praha: Informatorium, 2015, 877 stran. ISBN 9788073331184. info
    not specified
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
Teacher's information
The lessons are usually in Czech or in English as needed, and the relevant terminology is always given with English equivalents.

The target skills of the study include the ability to use the English language passively and actively in their own expertise and also in potential areas of application of mathematics.

Assessment in all cases may be in Czech and English, at the student's choice.

The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2022
Extent and Intensity
2/0/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Tue 12:00–13:50 M5,01013
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 198 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA and covariance analysis; introduction of cluster analysis, discrimination analysis, factor analysis.
Learning outcomes
After completing the course the student is able to:
evaluate dependencies between two or more variables;
model the dependencies between variables;
summarize the information contained in a large number of variables into a small number of new variables;
classify objects into groups based on quantitative variables.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Covariance analysis.
Literature
    recommended literature
  • HEBÁK, Petr. Statistické myšlení a nástroje analýzy dat. 2. vydání. Praha: Informatorium, 2015, 877 stran. ISBN 9788073331184. info
    not specified
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
Teacher's information
The lessons are usually in Czech or in English as needed, and the relevant terminology is always given with English equivalents.

The target skills of the study include the ability to use the English language passively and actively in their own expertise and also in potential areas of application of mathematics.

Assessment in all cases may be in Czech and English, at the student's choice.

The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2021
Extent and Intensity
2/0/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 1. 3. to Fri 14. 5. Fri 8:00–9:50 online_M6
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 197 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA and covariance analysis; introduction of cluster analysis, discrimination analysis, factor analysis.
Learning outcomes
After completing the course the student is able to:
evaluate dependencies between two or more variables;
model the dependencies between variables;
summarize the information contained in a large number of variables into a small number of new variables;
classify objects into groups based on quantitative variables.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Covariance analysis.
Literature
    recommended literature
  • HEBÁK, Petr. Statistické myšlení a nástroje analýzy dat. 2. vydání. Praha: Informatorium, 2015, 877 stran. ISBN 9788073331184. info
    not specified
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
Teacher's information
The lessons are usually in Czech or in English as needed, and the relevant terminology is always given with English equivalents.

The target skills of the study include the ability to use the English language passively and actively in their own expertise and also in potential areas of application of mathematics.

Assessment in all cases may be in Czech and English, at the student's choice.

The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2020
Extent and Intensity
2/0/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
doc. PaedDr. RNDr. Stanislav Katina, Ph.D. (lecturer)
Mgr. Vojtěch Šindlář (assistant)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 8:00–9:50 M3,01023
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 197 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA and covariance analysis; introduction of cluster analysis, discrimination analysis, factor analysis.
Learning outcomes
After completing the course the student is able to:
evaluate dependencies between two or more variables;
model the dependencies between variables;
summarize the information contained in a large number of variables into a small number of new variables;
classify objects into groups based on quantitative variables.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Covariance analysis.
Literature
    recommended literature
  • HEBÁK, Petr. Statistické myšlení a nástroje analýzy dat. 2. vydání. Praha: Informatorium, 2015, 877 stran. ISBN 9788073331184. info
    not specified
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
Teacher's information
The lessons are usually in Czech or in English as needed, and the relevant terminology is always given with English equivalents.

The target skills of the study include the ability to use the English language passively and actively in their own expertise and also in potential areas of application of mathematics.

Assessment in all cases may be in Czech and English, at the student's choice.

The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2019
Extent and Intensity
2/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 18. 2. to Fri 17. 5. Wed 12:00–13:50 M1,01017
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 197 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Learning outcomes
After completing the course the student is able to:
evaluate dependencies between two or more variables;
model the dependencies between variables;
summarize the information contained in a large number of variables into a small number of new variables;
classify objects into groups based on quantitative variables.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
spring 2018
Extent and Intensity
2/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Wed 10:00–11:50 M3,01023
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 197 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Learning outcomes
After completing the course the student is able to:
evaluate dependencies between two or more variables;
model the dependencies between variables;
summarize the information contained in a large number of variables into a small number of new variables;
classify objects into groups based on quantitative variables.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2017
Extent and Intensity
2/0/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 20. 2. to Mon 22. 5. Wed 11:00–12:50 MP1,01014
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 197 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2016
Extent and Intensity
2/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Fri 9:00–10:50 MP2,01014a
Prerequisites
NOW ( MAS02c Applied statistics II ) || NOW ( MAS20c Applied statistics II )
MAS01
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 197 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2015
Extent and Intensity
2/1. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Wed 8:00–9:50 MP2,01014a
  • Timetable of Seminar Groups:
MAS02/01: Wed 12:00–12:50 MP2,01014a
Prerequisites
MAS01
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 197 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2014
Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Fri 10:00–11:50 MP1,01014
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2014
Extent and Intensity
2/1. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Wed 9:00–10:50 MP2,01014a
  • Timetable of Seminar Groups:
MAS02/01: Wed 11:00–11:50 MP2,01014a
Prerequisites
MAS01
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 197 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2012
Extent and Intensity
2/1. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Mgr. Petr Okrajek (assistant)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Tue 8:00–9:50 MP2,01014a
  • Timetable of Seminar Groups:
MAS02/01: Tue 10:00–10:50 MP2,01014a
Prerequisites
MAS01
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 403 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2011
Extent and Intensity
2/1. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 13:00–14:50 MP2,01014a
  • Timetable of Seminar Groups:
MAS02/01: Mon 15:00–15:50 MP2,01014a
Prerequisites
MAS01
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 295 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2010
Extent and Intensity
2/1. 2 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Mon 9:00–10:50 MP2,01014a
  • Timetable of Seminar Groups:
MAS02/01: Mon 11:00–11:50 MP2,01014a
Prerequisites
MAS01
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 368 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2009
Extent and Intensity
2/1. 2 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
RNDr. Marie Budíková, Dr.
Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Wed 8:00–9:50 M3,01023, Wed 10:00–10:50 MP2,01014a
Prerequisites
MAS01
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 395 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2024

The course is not taught in Autumn 2024

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2023

The course is not taught in Autumn 2023

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2022

The course is not taught in Autumn 2022

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
autumn 2021

The course is not taught in autumn 2021

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2020

The course is not taught in Autumn 2020

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2019

The course is not taught in Autumn 2019

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2018

The course is not taught in Autumn 2018

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
autumn 2017

The course is not taught in autumn 2017

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2016

The course is not taught in Autumn 2016

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MaS02 Applied statistics II

Faculty of Science
Autumn 2015

The course is not taught in Autumn 2015

Extent and Intensity
2/0. 3 credit(s). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites (in Czech)
MAS01 Applied statistics I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět běží v jarním semestru pod kódem MAS02.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2013

The course is not taught in Spring 2013

Extent and Intensity
2/1. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Mgr. Petr Okrajek (assistant)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites
MAS01
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 315 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
spring 2012 - acreditation

The information about the term spring 2012 - acreditation is not made public

Extent and Intensity
2/1. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Mgr. Petr Okrajek (assistant)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites
MAS01
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 368 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

MAS02 Applied statistics II

Faculty of Science
Spring 2011 - only for the accreditation
Extent and Intensity
2/1. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Mgr. Petr Okrajek (assistant)
Guaranteed by
prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Prerequisites
MAS01
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 368 fields of study the course is directly associated with, display
Course objectives
The main goals of this course are: to master the methods of simple and multivariate correlation and regression analysis; to understand the basics of multifactor ANOVA; introduction of cluster analysis, discrimination analysis, factor analysis, survival analysis.
Syllabus
  • Simple and multivariate correlation and regression analysis.
  • Multifactor ANOVA.
  • Cluster analyis.
  • Discriminant analysis.
  • Factor analysis.
  • Survival analysis.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • MELOUN, Milan and Jiří MILITKÝ. Počítačová analýza vícerozměrných dat v příkladech. Praha: Academia, 2005. ISBN 80-200-1335-0. info
  • HEBÁK, Petr. Vícerozměrné statistické metody. Vyd. 1. Praha: Informatorium, 2004, 239 s. ISBN 8073330253. info
  • HEBÁK, a kol. Vícerozměrné statistické metody 2. Praha: Informatorium Praha, 2005. info
  • HEBÁK, Petr. Vícerozměrné statistické metody 3. Praha: Informatorium, 2005. ISBN 80-7333-039-3. info
Teaching methods
The weekly class schedule consists of 2 hour lecture and 1 hour of class exercises with special statistical software in computer classroom.
Assessment methods
The examination is partly written and partly oral. In the oral part, student presents his own statistical data analysis project. Colloquium has presentation part only, while credit is only written.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Předmět by si neměli zapisovat studenti matematických oborů.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (recent)