Tantárgy adatlapja
The course covers the following topics:1. Sample space, events, relations of events, experiment, relative frequency and probability, probability space, properties of probability. Combinatorics.; 2.Classical probability space, sampling with and without replacement; 3. Conditional probability, independence, theorem of total probability, Bayes’ rule; 4. Random variables, cumulative distribution function, density function; 5. Discrete distributions: Binomial distribution, hypergeometric distribution, geometric distribution, Poisson-distribution. Continuous distributions: Uniform distribution, exponential distribution, normal distribution; 6. Expected Value, Variance and Standard Deviation; 7. Joint Distributions, Covariance and Correlation.
