Syllabus |
1. Introduction to probability theory: axiomatic and properties of a probability; conditioning and independence; real random variables; Binomial,, Geometric, Poisson, Exponential, Normal distributions; moments and Central Limit Theorem. 2. Introduction to Inferential Statistics: point estimation; properties of the estimators; confidence intervals; hypothesis tests.
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Main Bibliography |
A. Gonçalves, E., Nogueira, E. e Rosa, A.C. (2016). Probabilidades e Estatística para Ciências e Tecnologia. Conceitos e exercícios resolvidos. Almedina. B. Montgomery, D. e Runger, G. (2011). Applied statistics and probability for engineers, 5th Edt, John Wiley & Sons. Cota: MD-14-00531 C. Ross, S. (2009). Introduction to probability and statistics for engineers and scientists. Amsterdam Elsevier. Cota: F-1.8-01370 (CD) E. Murteira, B., Ribeiro, C., Silva, J.A. e Pimenta, C. (2010). Introdução à estatística. Escolar Editora. Cota: EC-1.0-00135
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