• Purposes and methods of statistical analysis; statistical characters and classification.
• Data synthesis tools: Absolute, relative, cumulative frequencies; arrangement and organization of data in tables; frequency distributions.
• Main graphical representations: orthograms, circular sector diagrams, histograms, frequency polygons, dispersion diagrams.
• Central tendency indices: arithmetic mean and its properties, fashion and median, tertiary, quartiles and percentiles.
• Variability indices: range, deviance, variance, standard deviation and coefficient of variation. Box-plot.
• Frequency distribution curves. Symmetry indexes.
• Normal Distribution, standardized normal distribution.
• Elements of Probability Calculation. Definition of probability. Calculation of the probabilities of mutually exclusive, independent and conditioned events.
• Confidence interval for the arithmetic average and for a proportion.
• Concept of statistical hypothesis testing.
• Relationship between two characters: the chi-square test as a measure of association between two qualitative variables, the chi-square with the Yates correction for continuity, the exact Fisher test.
• Student's t test for independent samples
• Student's t test for paired samples.
• Regression and correlation analysis
• Evaluation of diagnostic tests SE, SP, VPP, VPN