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Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Objectives
Contents The following topics are considered as important parts of the teaching program for the fulfilment of the objectives: introduction to statistics, data visualization, summary and variability of distributions, regression and linear dependence analysis, statistical sampling, estimation and test theory.
Extended Syllabus STATISTICS
Prof: Luigi Ippoliti
Department of Economics
Tel: 0854537531
E-mail: ippoliti@unich.it
Program:
- statistical survey, univariate and bivariate distributions, summary statistics and variability, shape indexes
- Introduction to probability: probability, random variables (Uniform, Bernoulli, Binomial, Poisson, Normal, T-Student, F-Fisher, Gamma)
- Statistical inference: Estimation, property of estimators, maximum likelihood and least squares estimators, confidence intervals, Test theory.
- Linear model: regression model, TH Gauss-Markov, inference for the linear model
Recommended Bibliography Slides and handout
- Statistica, Principi e Metodi, G. Cicchitelli, Pearson Education
Teaching Methods Frontal lectures as well as practical exercises (some with the use of the software R)
Evaluation methods Verification of learning:
The exam consists of (2 hours) written tests (open questions as well as practical exercise, to verify the knowledge of the theoretical part of the
topics covered in class). The exams is failed for scores smaller than 18 points.
Contacts/More Information E-mail: ippoliti@unich.it
Students will be received on Monday and Wenedesday between 15:00 and 16:00
Appointments can be fixed by e-mail.