M011 Statistics I

Faculty of Informatics
Spring 1999
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
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 1996, Spring 1997, Spring 1998, Autumn 1998, Spring 2000, Spring 2001, Spring 2002.
  • Enrolment Statistics (Spring 1999, recent)
  • Permalink: https://is.muni.cz/course/fi/spring1999/M011