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CODE 108384
ACADEMIC YEAR 2023/2024
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR SECS-S/01
LANGUAGE Italian
TEACHING LOCATION
  • GENOVA
SEMESTER 4° Bimonthly
TEACHING MATERIALS AULAWEB

OVERVIEW

This unit aims to provide fundamental notions of statistics and data analysis. The topics covered include graphical and numerical representations of quantitative and categorical variables
and basic principles of interpretation, modeling and statistical inference.

 

AIMS AND CONTENT

TEACHING METHODS

Frontal lectures in person (unless otherwise advised).

SYLLABUS/CONTENT

Definition of data, statistics, statistical unit, statistical variable, categorical variables, quantitative variables, distribution,
exploratory analysis, modalities of a categorical variable, absolute and percentual frequency, pie charts, bar charts, histograms, classes of a histogram, frequency density, analysis of a distribution: model, deviation, form, center, dispertion, outlier, symmetry of a distribution, time-series chart, trend;

arithmetic mean, robustness of a numerical representation, computing the arithmetic mean in particular cases, properties of the mean: (null deviations from the mean, linearity). Median, mode , quartiles , boxplots, definition and computation of variance, standard deviation, and their basic properties;

density curve,  median, "mean", standard deviation in a density curve, normal distribution, "68-95-99.7" rule, standard normal distribution;

explanatory variable, response variable, scatterplot, interpretation of a scatterplot, categorical variables in a scatterplot, correlation index, property of correlation index;

building the least square regression line, limits and cautions for the use of the regression line;

contingency tables, marginal distributions, conditional marginal distribution, Simpson paradox.


 

RECOMMENDED READING/BIBLIOGRAPHY

- David S. Moore, "Statistica di Base", seconda edizione, ed. APOGEO.

TEACHERS AND EXAM BOARD

Exam Board

GABRIELE MOSAICO (President)

FABIO D'AGOSTINO

MATTEO SAVIOZZI

LESSONS

Class schedule

L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy.

EXAMS

EXAM DESCRIPTION

Written, multiple choice exam

ASSESSMENT METHODS

The exam will verify the knowledge of the concepts and definitions listed in the syllabus

Exam schedule

Data Ora Luogo Degree type Note
10/01/2024 11:00 GENOVA Scritto
22/04/2024 11:00 GENOVA Scritto
08/05/2024 11:00 GENOVA Scritto
05/06/2024 11:00 GENOVA Scritto
10/07/2024 11:00 GENOVA Scritto
02/09/2024 11:00 GENOVA Scritto