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Наталья Васильевна Карасенко

Section outline

  • Practical lesson No. 4. COLLOQUIUM No. 1 "MATHEMATICS"

    TOPIC: FUNDAMENTALS OF THEORY OF PROBABILITIES  AND MATHEMATICAL STATISTICS

    Students should learn the material on the topic and be able to answer the following questions:

    1. Fundamentals of probabilities theory
    - The concept of evidence-based medicine.
    - Random event. Definition of probability (statistical and classical). The concept of compatible and incompatible events, dependent and independent events. Addition and multiplication theorems for probabilities.
    - Continuous and discrete random variables. Distribution of discrete and continuous random variables, their characteristics: mathematical expectation, variance, standard deviation.
    - Normal law of distribution of continuous random variables. Distribution function. Probability density.
    2. Basics of Mathematical Statistics
    - General population and sample. Sample size, representativeness.
    - Statistical distribution (variation series). Bar chart. Characteristics of position (mode, median, sample mean) and scatter (sample variance and sample standard deviation).
    - Estimation of the parameters of the general population by the characteristics of its sample (point and interval).
    - Confidence interval and confidence probability. Level of significance
    3. Statistical hypotheses testing
    - Comparison of the means of two normally distributed populations.
    - Fisher's comparison criterion.
    - Pearson's comparison criterion.
    - Nonparametric tests.


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