000100L - ECONOMIC STATISTICS

courses

ID:

000100L

Duration (hours):

72

CFU:

SSD:

STATISTICA ECONOMICA

Located in:

PESCARA

Url:

Course Details:

ECONOMICS AND COMMERCE/ECONOMIA E STATISTICA Year: 2

Year:

2025

Course Catalogue:

https://unich.coursecatalogue.cineca.it/af/2025?co...

Date/time interval

Secondo Semestre (12/02/2026 - 12/05/2026)

Course Objectives

The course of economic statistics aims to contribute to the student's learning process by providing methodologies for quantitative analyses that are useful for economic and business decisions. In particular, these learning objectives can be associated with the following expected learning outcomes:
Knowledge and understanding
At the end of the course students will learn the basic statistical tools necessary to analyze economic and business data. Specifically, issues related to statistical inference, statistical quality control and the construction of economic indicators will be proposed during the course. The inclusion of exercises and case studies will provide an empirical statistical perspective on real-world business analysis scenarios. The topics will all be supported by applications with the software R.
Applying knowledge and understanding
The aim of the course is to develop critical skills in empirical analysis, through the application of statistical tools on studies of business phenomena. The use of R softwarewill enable students to expand and apply their knowledge across a variety of analytical and empirical contexts.

Course Prerequisites

The knowledge of basic statistics is requested.

Teaching Methods

The knowledge of basic statistics is requested.
Lectures. R practice and exercises.

Assessment Methods

Knowledge and understanding
The verification of the learning outcomes will be carried out through a written and oral examination. The written exam will cover the whole program with particular attention to the use of R software. Students will also have to prepare and discuss one statistical analyses, carried out with R, concerning statistical quality control methods applied to real case studies (data sets can be found on the internet ). These documents must be sent to the Professor at least one week before the exam date. The score of the exam is assigned by a vote expressed in 30.
Applying knowledge and understanding
During the exam and the development of the applied work, students'ability to apply the knowledge of statistical models is verified to be able to face concrete analysis situations.

Texts

Course slides
MONTGOMERY D.C. (2006). Controllo statistico della qualità, 2a ed. McGraw Hill (cap.1; cap. 2 pag. 39-65, 76-80; cap. 3 pag. 81-108; cap 4; cap. 5; cap. 6; cap. 8 pag. 329-354; cap.14 pag.577-610; cap. 15 pag. 625-632).

1. Introduction to R statistical software. Explorative analysis with R.
2. Review of Statistical Cocepts.
3. Statistical quality control and control charts.
4. Statistical quality control with R.
5. Index numbers.

Course Language

ITALIAN

More information

E-mail: paolo.postiglione@unich.it.
For further details and for downloading the slides: fad.unich.it, page of Statistica Economica.
In the first semester the Professor meets students only by appointment (paolo.postiglione@unich.it). In the second semester, the office hours for students is scheduled for Thursday from 14:00 to 16:00, green stair, floor 1, Viale Pindaro, 42, Room n.33.