Probability and Statistics
Code  Completion  Credits  Range  Language 

2012050  KZ  3  2P+0C  Czech 
 Lecturer:
 Gejza Dohnal (guarantor)
 Tutor:
 Gejza Dohnal (guarantor)
 Supervisor:
 Department of Technical Mathematics
 Synopsis:

Explanation of the concept of probability space, conditional probability, Bayes theorem. Work with random variables and description of basic probability models. Explanation of methods of statistical induction and description of basic methods in statistical data analysis, testing of statistical hypotheses and regression analysis.
 Requirements:
 Syllabus of lectures:

Probability space and probability measure.
• Random variable. Probability distribution and its characteristics.
• Selected discrete and continuous probability models.
• Random vector, characteristics of random vector.
• Transformation of random variable.
• Law of large numbers, central limit theorem.
• Statistical induction primciple, sampling.
• Sample charakteristics. Frequency analysis.
• Point estimators, estimation of sample characteristics.
• Confidence interval.
• Testing of hypothesis.
• Goodnessoffit tests.
• Nonparametric testing.
 Syllabus of tutorials:

Probability space and probability measure.
• Random variable. Probability distribution and its characteristics.
• Selected discrete and continuous probability models.
• Random vector, characteristics of random vector.
• Transformation of random variable.
• Law of large numbers, central limit theorem.
• Statistical induction primciple, sampling.
• Sample charakteristics. Frequency analysis.
• Point estimators, estimation of sample characteristics.
• Confidence interval.
• Testing of hypothesis.
• Goodnessoffit tests.
• Nonparametric testing.
 Study Objective:
 Study materials:

Grinstead, Ch. M., Snell, J. L.: (2011). Introduction to Probability. Available in Open Textbook Library: https://open.umn.edu/opentextbooks/textbooks/introductiontoprobability
Ash, R. B. (2008). Basic probability theory. Available at: https://faculty.math.illinois.edu/~rash/BPT/BPT.pdf
Lane D. M. et al. (2018). Introduction to Statistics. Available in Open Textbook Library: https://open.umn.edu/opentextbooks/textbooks/introductiontostatistics
Isotalo J. (2017). Basics of Statistics. Available at: https://www.mv.helsinki.fi/home/jmisotal/BoS.pdf
 Note:
 Timetable for winter semester 2020/2021:

06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Fri Thu Fri  Timetable for summer semester 2020/2021:
 Timetable is not available yet
 The course is a part of the following study plans: