Course: Theories of Probability and Statistics (in English)

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Course title Theories of Probability and Statistics (in English)
Course code KMI/YTPS
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 6
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Mrkvička Tomáš, prof. RNDr. Ph.D.
Course content
1. Probability 2. Random variable 3. Discrete 4. Continuos 5. Random vector 6. Central limit theorem 7. Data processing 8. Random sample 9. Interval estimate 10. Hypothesis testing 11. Hypothesis testing 12. Comparison of more samples 13. Correlation analysis 14. Linear regression

Learning activities and teaching methods
Monologic (reading, lecture, briefing)
Learning outcomes
A basic introductory course devoted to basic principles of statistical reasoning and applications of data analysis in biology. Students acquire the ability to apply properly the statistical methods in biology. This includes also correct sampling and experimental design, and correct interpretation of results of statistical analyses. The program is designed according to the needs of students analyzing data in their own projects, particularly in preparation of their thesis.
Students understand the basic principles of statistical methods and probability. Students are able to carry out hypothesis testing and regression analysis.
Prerequisites
The course has no prerequisities.

Assessment methods and criteria
Combined exam

Credit Requirements: Attendance in lab Examination Requirements: To pass written part of exam you have to solve absolute majority of problems.
Recommended literature
  • Available at: http://bookboon.com/cs/ucebnice/statistika/statistics-for-business-and-economics.
  • Fernandes, M. Statistics for Business and Economics. Ventures Publishing Aps., 2011. ISBN 978-87-7681-481-6.
  • Newbold, P., Clarlson, W., Thorne, B. Statistics for Business and Economics. Prentice Hall, 2010. ISBN 10:0-13-507248-4.
  • Sokal, R. R. and Rohlf, F. J. (1981) Biometry, 2nd ed. Freeman & Comp., San Francisco.
  • Zar, J. H. (2009) Biostatistical analysis, 5th. ed. Prentice-Hall, Englewood Cliffs, N. J..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester