M011 Statistics I

Faculty of Informatics
Spring 1998
Extent and Intensity
2/2. 4 credit(s). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. RNDr. Pavel Osecký, CSc. (lecturer)
Guaranteed by
Contact Person: doc. RNDr. Pavel Osecký, CSc.
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
Syllabus
  • Data files. Univariate and bivariate empirical characteristics and graphs.
  • Deterministics and stochastical experiment. Universum, Borel-field and events. Empirical law of large numbers and axiomatic definition of probability.
  • Construction of classical probability and of probability distributions using probability function and density.
  • Stochastic independence of events, conditional probability and Bayes' theorem.
  • Random variables and vectors. Probability distribution and distribution function.
  • Discrete and continuous random variables and vectors. Typical distribution laws. Simultaneous and marginal distributions.
  • Stochastic independence of random variables and vectors. The sequence of independent trials.
  • Quantiles, expectation, variance, covariance, correlation coeficient and their properties.
Language of instruction
Czech
The course is also listed under the following terms Spring 1996, Spring 1997, Autumn 1998, Spring 1999, Spring 2000, Spring 2001, Spring 2002.
  • Enrolment Statistics (Spring 1998, recent)
  • Permalink: https://is.muni.cz/course/fi/spring1998/M011