Learning objectives
Each student should obtain basic knowledge of probability and statistics, together with some practical skills, to be able to understand simple statistical models and acquire solid grounds for an advanced study of statistics.
Prerequisites
Analisi matematica
Course unit content
1. Probability theory.
2. Descriptive statistics.
3. Random variables.
4. Probability distributions.
5. Sample statistics.
6. Parameters estimation.
7. Statistical tests.
8. Linear regression.
Full programme
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Bibliography
1. Sheldon M. Ross - Introduction to Probability and Statistics for Engineers and Scientists, Fourth Edition - Academic Press, 2009 - ISBN 978-0123704832
Teaching methods
Class teaching (60 h) and computer lab on Microsoft Excel 2007 (12 h)
Assessment methods and criteria
1. Written test.
2. Possible oral test.
Other information
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