Practical lesson No. 1. Elements of theory of probabilities

The student must learn the material on the topic and be able to answer the following questions:

1. Evidence-based medicine
2. A random event. The probability of a random event. Classical and statistical definition of probability.
3. The concept of compatible and incompatible events. The law (theorem) of addition of probabilities. Examples of compatible and incompatible events.
4. The concept of dependent and independent events. Conditional probability, the law (theorem) of multiplication of probabilities. Examples of dependent and independent events.
5. Continuous and discrete random variables.
6. Distribution of discrete and continuous random variables and their characteristics: mathematical expectation, variance, standard deviation.
7. Function of distribution. Density of probability. 
8. Continuous random variable normal distribution law.