Learning outcomes of the course unit
The module of Social Statistics, unitedly with that of Statistics, is intended to introduce the basic concepts at a level which may consent simple but already significant applications both in Bio-medical and in social problems. Once the course is completed, students should possess the principal notions regarding: probability and related properties, measurement process of an aleatory quantity, treatment of a set of data and deduction of its relevant statistic significance, the most usual random variables and their characteristic distribution, use of statistic numerical tables, the sampling problem and inference of the parameters of a population, structure of a hypothesis test, several important tests (parametric and non-parametric) with applications.
Course contents summary
1. Statisical rates:
Statistical rates (of composition, of derivation) – Morbidity rate (prevalence, incidence and risk) – Mortality rates - Crude and specific rates.
2. Standardized rates:
Age-adjusted rates - Direct and indirect standardization methods – Scales and social indicators – The life table and life expectancy.
3. Non parametric tests:
Non parametric tests, basical aspects. The notion of ''rank''. The Mann-Whitney ranks test. The Wilcoxon signed ranks test. The Kruskal-Wallis ranks test. The Wald-Wolfowitz runs test. Chi-square test and contingency tables. Kolmogorov-Smirnov test. McNemar test.
E.Buluggiu, Elementi di Statistica e teoria della misura, Edizioni Santa Croce, Parma (2002).
Other useful textbooks:
Peter Armitage, Statistica Medica, Feltrinelli, Milano (1989).
Glantz A. Stanton, Statistica per Discipline Bio-mediche, McGraw-Hill, Milano, 1994
Siegel Sidney, Statistica non parametrica per le scienze del comportamento, OS Ed. Firenze, 1985