Learning outcomes of the course unit
The student should know the basic concepts of biometrics and understand the correct application of the principal statistical tests
Course contents summary
Universe, population and sample. Variables and related statistical analysis.Random sampling. Normal distribution.descriptive statistics : observations, arithmetic mean, median, mode and dispersion : standard deviation and standard error. Confidence limits.Estimation and hypothesis testing : Student's t distribution and t-test for two independent sample means, analysis of variance for two groups , linear correlation and the chi square distribution: contingency tables, exact Fisher test.Nonparametric methods: Mann Whitney test and rank correlation test: Spearman's coefficient.Clinical trials: randomization, double blind and informed consensus
"(Bio)statistica" E. Molina, W. Troise Rioda, Editor: Ed. Scientifiche Oppici
"Statistica per disciplineBio-mediche" S. A. Glantz. Editor: McGraw Hill
teaching and learning activities by making use of audiovisual instruments; interactive discussions.
written exercises of statistical tests.