MA2MP_PPR2 Probability and Statistics 2

Faculty of Education
Autumn 2019
Extent and Intensity
2/0/0. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
RNDr. Břetislav Fajmon, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Jaroslav Beránek, CSc.
Department of Mathematics – Faculty of Education
Supplier department: Department of Mathematics – Faculty of Education
Prerequisites
Knowledge of Probability and Statistics 1.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
At the end of the course students should be able to understand and explain the basic of selected parts of probability and statistics.
Learning outcomes
After a successful completion of the course, the students will be able to solve selected problems from mathematical statistics related to the syllabus: 1. Hypothesis testing. 2. Descriptive statistics. 3. Analysis of variance. 4. Regression analysis. 5. Correlation analysis. 6. Tthe R language as a tool of statistics.
Syllabus
  • 1. Hypothesis testing. 2. Descriptive statistics. 3. Analysis of variance. 4. Regression analysis. 5. Correlation analysis. 6. Tthe R language as a tool of statistics.
Literature
    recommended literature
  • BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Teorie pravděpodobnosti a matematická statistika. Sbírka příkladů. (Probability Theory and Mathematical Statistics. Collection of Tasks.). 3rd ed. Brno: Masarykova univerzita, 2004, 127 pp. ISBN 80-210-3313-4. info
  • BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Popisná statistika (Descriptive Staistics). 2. dotisk 3. vydání. Brno: Masarykova univerzita v Brně, 2002, 52 pp. ISBN 80-210-1831-3. info
    not specified
  • BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ. Popisná statistika. 4th ed. Brno: Masarykova univerzita, 2007, 52 pp. ISBN 978-80-210-4246-9. info
  • PŁOCKI, Adam and Pavel TLUSTÝ. Pravděpodobnost a statistika pro začátečníky a mírně pokročilé. 1. vyd. Praha: Prometheus, 2007, 307 s. ISBN 9788071963301. info
  • BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Tomáš LERCH. Základní statistické metody. Vydání první. Brno: Masarykova univerzita, 2005, 180 pp. ISBN 80-210-3886. info
  • PŁOCKI, Adam. Pravdepodobnosť okolo nás/ : stochastika v úlohách a problémoch. Ružomberok: Katolícka univerzita, 2004, 266 s. ISBN 8089039510. info
Teaching methods
The lessons will consist of expository and practicing parts.
Assessment methods
Succesful completion after a good result in a written test;
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/ped/autumn2019/MA2MP_PPR2