MAS02 Applied statistics II
Faculty of ScienceSpring 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).
In-person direct teaching - 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
- 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.
MAS02 Applied statistics II
Faculty of ScienceSpring 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
- 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.
MAS02 Applied statistics II
Faculty of ScienceSpring 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
- 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.
MAS02 Applied statistics II
Faculty of ScienceSpring 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
- 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.
MAS02 Applied statistics II
Faculty of ScienceSpring 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
- 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.
MAS02 Applied statistics II
Faculty of ScienceSpring 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
- 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.
MAS02 Applied statistics II
Faculty of ScienceSpring 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
MAS02 Applied statistics II
Faculty of Sciencespring 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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:
- 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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:
- 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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:
- 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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:
- 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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:
- 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 2024
The course is not taught in Autumn 2024
- Extent and Intensity
- 2/0. 3 credit(s). Type of Completion: k (colloquium).
In-person direct teaching - 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of Scienceautumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of Scienceautumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MaS02 Applied statistics II
Faculty of ScienceAutumn 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
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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
MAS02 Applied statistics II
Faculty of Sciencespring 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
MAS02 Applied statistics II
Faculty of ScienceSpring 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
- Enrolment Statistics (Spring 2025, recent)