Ateneo - UPO

Structure of the statistical survey, univariate and bivariate descriptive statistics, the presentation of statistical data in tables and graphs, the normal distribution, association analysis, correlation and regression, sampling from finite populations, notes on the use of the R application for descriptive statistics analysis

Mario Montinaro, Giovanna Nicolini
Elementi di Statistica descrittiva
UTET Università, 2008

The course aims to provide the theoretical foundations of descriptive statistics with an emphasis on the applied aspect through the use of case studies of statistical surveys analyzed with spreadsheets and with references to the use of the R application. The theory will cover univariate and bivariate descriptive statistics, association analysis, correlation and regression and basic notions of sampling theory from finite populations.

There are no prerequisites for this course

Lectures; Group work in class.

Attendance is not mandatory but highly recommended. The educational material used during the lessons will be made available to students on the DIR online platform. Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/servicesstudents-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.

Written exam with closed and open questions and descriptive statistics exercises.

The structure of statistical survey, numerical presentation of statistical data, graphical presentation of statistical data, measures of central tendency, variability, concentration, statistical ratios and index numbers, normal distribution, association analysis, correlation and regression, notes on the theory of sampling from finite populations, notes on the use of the R application program.

Students will be able to use statistical concepts to construct the data matrix and employ the main data analysis techniques with a spreadsheet.