Development and International Cooperation Studies

STATISTICS FOR DEVELOPMENT

Course objectives

The aim of the course is to provide the student with a set of basic descriptive statistics tools for the quantitative analysis of development phenomena. These tools include measures of central tendency, variability and shape of univariate distributions of data, as well as measures of association and correlation for bivariate distributions of data, and models for the study of the statistical relationships between phenomena.

Channel 1

MAURO COSTANTINI Lecturers' profile

Program - Frequency - Exams

Course program

Part I. Univariate analysis of statistical data 1 Basic concepts 2 Frequency distributions 3 Graphical representations 4 Means 5 Variability 6 Shape of Frequency Distributions Part II. Bivariate analysis: 7 Analysis of bivariate distributions: Dependence 8 Analysis of bivariate distributions: Regression 9 Analysis of bivariate distributions: Correlation

Prerequisites

There are no specific requirements. No preparatory courses are required.

Books

Cicchitelli, G., D'Urso, P., Minozzo, M. - Statistics. Principles and Methods. First edition (2021), Pearson.

Frequency

Attendance is not mandatory, but highly recommended.

Exam mode

The assessment is carried out through a final written exam. The exam consists of 5 numerical questions with potential interpretation of the results. It is requested that the student reports all the steps of the calculations to obtain the results, along with the interpetation of the results, if requested. The written exam lasts 90 minutes and students are allowed to use a calculator.

Lesson mode

Lectures and exercises. Each theoretical topic will be integrated with application examples and exercises in order to facilitate the understanding of statistical tools.The elearning tool for the course is Moodle, available at elearning.uniroma1.it. Slides and solution of the proposed exercises are available on Moodle.