PřF:MAS20c Applied statistics II - Course Information
MAS20c Applied statistics II - exercises
Faculty of ScienceSpring 2025
- Extent and Intensity
- 0/1/0. 1 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Zdeňka Geršlová (seminar tutor)
- 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 ( MAS02 Applied statistics II )
MAS10c - 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
- Anthropology (Eng.) (programme PřF, D-BI4)
- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, B-ANT)
- Anthropology (programme PřF, D-BI4)
- Anthropology (programme PřF, M-BI, specialization Physical Antropology)
- Anthropology (programme PřF, M-BI, specialization Socio-Cultural Antropology)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)
- Course objectives
- The aim of the course is to teach the student to use statistical software in the processing of multidimensional data sets from the field of anthropology.
- Learning outcomes
- After completing this course:
the student is able to perform correlation and regression analysis;
the student is familiar with methods of multifactor analysis of variance and covariance analysis;
the student is able to express information contained in a large number of variables using a small number of new variables;
the student can sort objects into groups. - Syllabus
- Simple and multivariate correlation and regression analysis.
- Multifactor ANOVA.
- Cluster analyis.
- Discriminant analysis.
- Covariance analysis.
- Literature
- HEBÁK, Petr. Statistické myšlení a nástroje analýzy dat. 2. vydání. Praha: Informatorium, 2015, 877 stran. ISBN 9788073331184. info
- BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
- Teaching methods
- The weekly class schedule consists of 1 hour of class exercises with special statistical software in computer classroom.
- Assessment methods
- Compulsory attendance (two unexcused absences are allowed). During the semester students complete 3 multiple choice tests. 50% of correct answers is needed to pass. Bonus points can be earned for completing homework assigned by teacher.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
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
NOW(MAS02c) || NOW(MAS20c)
- MAS02 Applied statistics II
- Enrolment Statistics (Spring 2025, recent)
- Permalink: https://is.muni.cz/course/sci/spring2025/MAS20c