Probabilità e Statistica per l'ingegneria e le scienze, S. M. Ross, Maggioli Editore, 2015 (terza edizione)
Analisi statistica dei dati per l'ingegneria, R. E. Walpole at al., Pearson, 2016
Statistica per l'Ingegneria e le Scienze, W. Navidi, McGraw-Hill, 2008
This course will provide students with the understanding of the principal tools to collect, summarize and analyze data in Engineering problems.
Differential and integral calculus.
Lectures and classroom exercises.
Type of Assessment
Descriptive Statistics: frequency distributions, graphical representations, measures of central tendency and measures of variability. Elements of Probability: sample space and events, the algebra of events, axioms of Probability, conditional probability.
Random Variables: marginal distributions, joint distributions and conditional distributions, expectation and variance, discrete random variables (Bernoulli,Binomia, Poisson, Hypergeometric), continuous random variables (Uniform, Normal, Exponential, Gamma, Weibull, distributions arising from the Normal one).
Sampling Distributions and Central Limit Theorem. Parameter Estimation: Maximum Likelihood Estimators, Confidence Intervals for the mean, the variance, and the difference of means.
Hypothesis testing: test for the mean, the variance, testing the equality of means, goodness of fit tests.
Linear Regression: parameter estimation and model assessment.