KRYSICKI RACHUNEK PRAWDOPODOBIESTWA I STATYSTYKA MATEMATYCZNA PDF

The module covers issues related to the theory of probability and mathematical statistics. Events and the probability of random events. Probability space. Definitions and properties of probability. The classical definition of probability. Conditional probability and independence of of events.

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Theory and practical exercises on elements such as standard deviation, symmetry coefficient, kurtosis, modal value, median, quantile, two-dimensional random variable, probability distribution of two-dimensional random variable, covariance, correlation coefficient, linear regression, regression coefficients, linearization, estimation and confidence intervals, testing of hypotheses, probability distributions Gaussian, q-Gaussian, Poissonian.

Students should acquire a basic knowledge about the most fundamental and useful notions, concepts and methods of the mathematical statistics.

Wybrane zagadnienia. Kassyk-Rokicka H. PWE, Warszawa s. Krysicki W. Wydawnictwo Naukowe PWN, , s. Norcliffe G. Others: Obecny A. Obecny A. Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes.

This course is related to the following study programmes:. Additional information registration calendar, class conductors, localization and schedules of classes , might be available in the USOSweb system:. On-line services of the University of Warsaw You are not logged in log in. This course is not currently conducted!

Organized by: Faculty of Geography and Regional Studies. Related to study programmes: Spatial development, part-time, first cycle programme. Elements of Mathematical Statistics ASM Theory and practical exercises on elements such as standard deviation, symmetry coefficient, kurtosis, modal value, median, quantile, two-dimensional random variable, probability distribution of two-dimensional random variable, covariance, correlation coefficient, linear regression, regression coefficients, linearization, estimation and confidence intervals, testing of hypotheses, probability distributions Gaussian, q-Gaussian, Poissonian.

The purpose of the course is to provide the most fundamental as well as the most useful concepts and methods of the mathematical statistics. This course is related to the following study programmes: Spatial development, part-time, first cycle programme Additional information registration calendar, class conductors, localization and schedules of classes , might be available in the USOSweb system: Description of ASM in USOSweb. On-line services of the University of Warsaw. You are not logged in log in.

ALEKSANDRA POTER ZBOGOM NIJE KRAJ PDF

Probability theory and mathematical statistics

Theory and practical exercises on elements such as standard deviation, symmetry coefficient, kurtosis, modal value, median, quantile, two-dimensional random variable, probability distribution of two-dimensional random variable, covariance, correlation coefficient, linear regression, regression coefficients, linearization, estimation and confidence intervals, testing of hypotheses, probability distributions Gaussian, q-Gaussian, Poissonian. Students should acquire a basic knowledge about the most fundamental and useful notions, concepts and methods of the mathematical statistics. Wybrane zagadnienia. Kassyk-Rokicka H. PWE, Warszawa s. Krysicki W.

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