Salta al contenuto principale della pagina

ELEMENTI DI STATISTICA PER LE PROFESSIONI TECNICHE

CODE 108384
ACADEMIC YEAR 2022/2023
CREDITS
  • 3 cfu during the 1st year of 11429 TECNOLOGIE INDUSTRIALI(L-P03) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR SECS-S/01
    LANGUAGE Italian
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    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

    All class schedules are posted on the EasyAcademy portal.

    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

    Date Time Location Type Notes
    27/04/2023 09:00 GENOVA Scritto
    18/05/2023 15:00 GENOVA Scritto
    11/07/2023 15:00 GENOVA Scritto