• Purposes and methods of statistical analysis; Statistical characters and classification.
• Data synthesis Tools: absolute, relative, cumulated frequencies; Arrangement and organization of data in tables; Frequency distributions.
• Main graphical representations: orthograms, circular field diagrams, histograms, frequency polygons, scatter diagrams.
• Central trend indices: Arithmetic mean and its properties, mode and median, Terzili, quartiles and percentiles.
• Variability indices: range, deviance, variance, standard deviation and coefficient of variation. Box-Plot.
• Frequency distribution curves. Symmetry indices.
• Normal distribution, standardized normal distribution.
• Confidence interval for an arithmetic mean and for a proportion.
• Concept of statistical hypothesis testing.
• Relationship between two qualitative characters: the Chi-squared test as a measure of association between two qualitative variables, the chi-squared with the correction of Yates for the continuity, the exact Fisher test.
• Student T-test for independent samples and student T-test for paired samples.
• Relationship between two quantitative characters: regression analysis and correlation analysis
• Critical reading of articles related to topics related to the CdS with significant content of biostatistics.

• Evaluation of diagnostic tests. Sensitivity definitions (SE), specificity (SP), positive predictive values (VPP), and negative (VPN).
• Techniques of determination of the curves ROC
• Elements of probability calculation. Definition of probability. Calculation of the probabilities of mutually exclusive, independent and conditioned events.