PRINCIPI E METODI STATISTICI

Academic Year 2017/2018 - 2° Year
Teaching Staff Credit Value: 9
Scientific field: SECS-S/05 - Social statistics
Taught classes: 72 hours
Term / Semester:

Detailed Course Content

  • Statistical Methods for Data Analysis. - STATISTICAL MEASURES

    Origin and evolution of Statistics - Statistics and its role - Collective phenomena – Metric and non metric variables - The levels of measurement - Statistical distributions - Tabular and graphic representations - Measures of central tendency - Measures of variability – Concentration – Shape indices – Chebyshev inequality - lndex numbers.

  • Statistical Methods for Data Analysis. - BIVARIATE STATISTICAL MEASURES

    Measures of the relationship between two variables - Linear Relations - The probability - Probability distributions and discrete random variables - Probability distributions and continuous random variables - sampling techniques and sampling distributions .

  • INFERENTIAL STATISTICAL MEASURES

    Statistical inference - Estimation of parameters - Parameter estimation of a single population and comparisons between the two populations - Hypothesis testing of a single population and comparisons between the two populations - Test on frequency data , on the goodness of fit and analysis of the tables contingency - Inference on the linear regression model .


Textbook Information

  • Statistical Methods for Data Analysis. - STATISTICAL MEASURES

    G. Cicchitelli, P. D'Urso, M. Minozzo (2018), Statistica. Principi e Metodi (3th edizione), Pearson - Prentice Hall, Milano, cap. 1-8

  • Statistical Methods for Data Analysis. - BIVARIATE STATISTICAL MEASURES

    G. Cicchitelli, P. D'Urso, M. Minozzo (2018), Statistica. Principi e Metodi (3th edizione), Pearson - Prentice Hall, Milano, cap. 9-17.

  • INFERENTIAL STATISTICAL MEASURES

    G. Cicchitelli, P. D'Urso, M. Minozzo (2018), Statistica. Principi e Metodi (3a edizione), Pearson - Prentice Hall, Milano, cap. 18-22.