Introduction: problems of descriptive and inferential statistics and their applications in the
experimental sciences.
Elements of descriptive statistics: discrete variables and continuous variables, population;
character; sample; absolute frequency; relative frequency; cumulative frequency; variable;
statistics; dot plot; bar graph, pie chart.
Main statistics: mode, median, quartiles, quantiles, arithmetic mean, deviation.
Statistical averages: definition of Cauchy; definition of Chisini; the arithmetic mean; geometric
mean; harmonic mean; weighted arithmetic mean; their properties (proofs and applications).
Variability indexes: the range of the data; deviance; variance and standard deviation;
coefficient of variation; their properties (proofs and applications). .
Form of a distribution: the concept of symmetry; asymmetry; the standardized variable;
Pearson index of asymmetry; Fisher asymmetry index; Kurtosis and Pearson kurtosis index.