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Probability & Statistics


Eynard D.

Course director

Verzelli P.


Zambon D.



The class provides an introduction to probability theory, descriptive statistics (data exploration and graphical inference; measures of central tendency, dispersion, and correlation; simple and multiple linear regression), and inferential statistics (sampling distributions, confidence intervals, hypothesis testing). Theoretical concepts in the course will be illustrated with real-life examples and datasets, which students will analyse using the R software environment.




  • William Feller: An introduction to probability theory and its applications. J. Wiley, 1968-1971.
  • Steven J. Miller: The Probability Lifesaver. Princeton University Press, 2017.
  • Darrell Huff: How to lie with statistics. W.W. Norton & Co, 1954.
  • Hogg, Tanis, Zimmerman: Probability and Statistical Inference, Ninth Edition. Pearson, 2015.