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Develop a correct approach to the analysis of situations under conditions of uncertainty., Acquiring tools to rationally deal with the information and make decisions consistent. Knowing how to analyze and interpret data presented in various forms.
Elements of descriptive statistics. Graphical representation of statistical phenomena Analysis of statistical distributions Regression and correlation ,probability ;combinatorics Discrete random variables Classical probability distributions Bernoulli, geometric, hypergeometric, Poisson. Continuous random variable. Probability density. Law of the normal distribution or Gauss's law.
Slide class, "Il modello non deterministico" L.Scaglianti,M. Chiodi, A. Mangiarotti, CEDAM.
