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Prof. Domenico Vistocco

ECTS: 10

Prerequisites: None


Data Description: exploring data and assumptions. Probability Distributions. Inferences about Population Central Values. Inferences Comparing Two Population Central Values. Inferences about Population Variances. Inferences about More Than Two Population Central Values. Multiple Comparisons. Categorical Data. Linear Regression and Correlation. Multiple Regression and the General Linear Model. Analysis of Variance. Analysis of Covariance.


R.L. Ott & M. Longnecker (2010). An Introduction to Statistical Methods and Data Analysis, Sixth edition, Brooks/Cole Cengage Learning. Belmont, USA

M.L. Berenson, D.M. Levine, T.C. Krehbiel (2005). Basic Business Statistics, Thelfth edition. Prentice Hall.


Aim of the course is to provide students with a broad overview of statistical methods which may be exploited to tackle economics and business issues starting from data. Students will learn statistics by doing, exploiting R, a popular open-source software for data analysis. Emphasis on the applications of the techniques and on the interpretation of results will help students to appreciate the relevance of the statistical tools in real life applications.


Lectures and lab sessions.

Examination methods:

Written + oral final exam.

[Ultima modifica: mercoledì 30 novembre 2016]