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Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
To acquire the knowledge of basic statistics it is necessary to have acquired the main knowledge of general mathematics.
Objectives
Contents Descriptive Statistics
Methods of detection, classification and representation of
Frequency Distributions
Aritmetic mean, geometric mean, median , mode quantile ,percentile
Variability
Analysis of dependence and interdependence.
Regression an Least Squared Method.
Probability: preliminary concepts
Extended Syllabus Descriptive Statistics
Official sources. Methods of detection, classification and representation of the observed data. Distributions of
frequency. Average values. Variability indices. Shape indices. Choice of the type of function representative of the observed data. Determination and estimation of parameters. Assessment of the degree of matching and conformity of the interpolating function.
.Analysis of dependence and interdependence. Decomposition of deviance. Bravais Pearson linear correlation coefficient. Determination index.
Complements of Probability and Inference
Preliminary concepts on random variables, event space and probability. Empirical law of the case. Postulates of the calculation of probabilities. Bayes' theorem.
Recommended Bibliography Course notes
Statistica Teorie e Metodi
G.Cicchitelli
P.D'Urso
M. Minozzo
Pearson Editore -2017
Methods of Provision
Teaching Methods Lessons are held in Italian with theoretical explications of the program topics accompanied by practical examples of business interest (also in the form of group exercises or testimonials of experts). For some contents is provided teaching of computer-based calculation (using a spreadsheet and briefly introducing R language
Evaluation methods Verification of learning:
The exam is written and verifies the learning of theories and problem-solving abilities on topics under program. The test is divided into two parts/exercises (one oriented to the theoretical conceptualization while the other to statistical data processing (exercises with commentary on the results). Note: The student has the right to support three trials from the semester in which the teaching is delivered (in this case from May to February included). Non programmable calculators are allowed.
Contacts/More Information the course is structured in 48 hours of frontal teaching, divided into lessons of 2 and 3 hours on the basis of
academic calendar.