Key terms

Introduction to study, basic stages of the statistical analysis, basic and sample set.

Statistical characteristics of the position, spread and shape of a one-dimensional set

The exploratory data analysis.

The probability theory

Probability essentials, the frequency and distribution function.

Random quantities

The division of continuous and discrete quantities.

Work with sample sets

Sample surveys, the essence, procedure, examples of real sample surveys, types of samples, determining the sample size.

The point estimate

Characteristics of the point estimate, point estimates of the parameters of position and spread of the basic set.

The interval estimate

The essence of the interval estimate, interval estimates of the parameters of the position and spread of the basic set.

Statistical tests

Testing statistical hypotheses, the essence, general procedure, tests for 1 set or 2 sets.

Non-parametric tests

Basic non-parametric tests.

Spread analysis

One- and multi-factor ANOVA, multiple comparison, non-parametric ANOVA.

Statistical dependence

Types of statistical dependence, the dependence of categorial variables.

Correlation analysis

Correlation analysis, correlation coefficient and its testing. Regression analysis – linear regression models, regression model validation.