Ability to perform statistical processing of accumulated factual data in medicine, in environmental research and in biomedical engineering.
Possibility to study the variations of different features in medical examination, and to identify the reasons of these variations
Ability to evaluate relationships that are found in research

Evaluation of the hypotheses and conclusions that follow from the research
Ability to evaluate the hypothesis and obtain conclusions from the research

Physics (Mechanics, Electrostatics, Electrodynamics, Optics
Mathematical analysis (Differential and integral calculus)
Differential Equations and
equation of mathematical physics
(Ordinary differential equations and partial differential equations)
Software tools in information technology
(Functional features of the packages of applied computer mathematics applications)

Basic concepts of sampling method. (Signs of their properties - Reasons for variation of monitoring results - Scales for comparison and measurement of features - General population and sample - Methods for selecting statistical material - Methods for grouping primary data - Statistical series) Statistical indicators (average arithmetic mean, mathematical expectation, dispersion Standard deviation, median, asymmetry coefficient, coefficient of variation, coefficient of excess, characteristics of the variation. Distribution laws for discrete and continuous variables. Distributions related to normal. Distributions of discrete quantities. Binomial distribution. Distribution of Poisson. Distributions of continuous quantities. Indicative distribution. Normal distribution and its properties Statistical hypotheses. Concept of statistical hypothesis. Statistical sampling for homogeneity. Statistical testing of hypotheses about the law of distribution of the investigated feature. Pearson Criterion. Criterion Shapiro-Wilka. Method of mean absolute deviation. Statistical verification of hypotheses about the equality of population parameters (determination of the statistical significance of the difference between two sets of observations). Parametric methods. Nonparametric methods. Elements of the theory of correlation. Concept of correlation dependence. Correlation table. Coefficient of covariance. Correlation coefficient. Linear correlation. Estimation of the density of the nonlinear connection between the variables X and Y using a parametric index. Nonparametric methods of the relationship between values. Rank correlation. Nonlinear correlation Single-factor dispersion analysis. Elements of multi-factor analysis. Single-factor dispersion analysis. Assessment of the influence of factors. Methods of multiple comparisons of averages. Tukey method (T-method). Scheffe method (S-method). Rank analysis. Multi-factor analysis

VI Fediv, M.A Ivanchuk, M.V Shaplavsky, V.F Boechko, O.Yu.Mikitiuk. Fundamentals of Statistical Processing of Medical and Pharmaceutical Information / Chernivtsi, Bukovina State Medical University, 2005. - 174 p.(in Ukrainian)
2. Bailey N. Mathematics in Biology and Medicine. M .: World. 1970 - 322 pp.(in Russian)
3. Glants S. Medico-Biological Statistics M .: Practice. 1999 - 459 s.(in Russian)
4. Yeliseeva II, Yuzbashev MM General theory of statistics. M .: Finance and Statistics, 2000. - 480 pp.(in Russian)
5. Ufimova MR, Petrova E.V. Rumyantsev VN General theory of statistics M .: INFRA-M, 2000. - 416 p. (in Russian)
6. Rokitsky P.F. Biological statistics. Minsk: Выш. School, 1967. - 328(in Russian)

Semester Exam: control over the work in the semester - 30 points, test assignments - 30 points, task resolution - 40 points.