MAS20c Applied statistics II - exercises

Faculty of Science
Spring 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).
In-person direct teaching
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
there are 9 fields of study the course is directly associated with, display
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
The course is also listed under the following terms Autumn 2014, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (recent)
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