prof. Maria Richetta
Experimental measurements: examples. Interpretation of collected data. Accuracy and precision of measurements. Random prcesses. Events. Estimates and error interval. Stocastic processes. Inferential statistics. Samples and populations. Examples of statistical problems. Testing, deconvolution, classification. Definition of probability. Bayesian and modern statistics. Classical interpretation of probability. Conditional probability.Parametrization of data. Assignment of probabilty to events. Definition of measurements and declaration of errors. Measurements distributions. Examples: Gaussian, Poissonian, Binomial, etc. Least square method. Covariance and correlation. Chi square test. Data rejection.