500026 - STATISTICS (O-Z)

courses

ID:

500026

Duration (hours):

66

CFU:

SSD:

STATISTICA

Year:

2025

Date/time interval

Secondo Semestre (16/02/2026 - 23/05/2026)

Course Objectives

The course aims to illustrate the foundations of statistics and statistical learning based on data analysis. The main basic concepts of descriptive statistics, probability and inferential statistics are covered. The aim of the course is to provide students with the fundamental statistical tools useful for understanding and solving economic and business problems. At the end of the course the student will be able to provide a descriptive summary of the data using synthetic indicators. He/She will also be able to solve inferential problems using linear statistical models, and the related measures of fit and significance.

Course Prerequisites

There are no formal prerequisites. Nevertheless, it is suggested to have a sufficient knowledge of the main topics of the general math course.

Teaching Methods

Metodi didattici METODI_DID 8000 Sì •Lezioni frontali •Esercitazioni in aula •Settimanalmente verranno suggeriti sulla piattaforma KIRO degli esercizi da svolgere individualmente che verranno poi risolti durante il tutorato della settimana successiva. •Face-to-face lectures •In-class exercises • Suggested exercises will be uploaded on the platform KIRO on a weekly base. These exercises should be carried out individually by the students. They will be solved during the tutorial of the following week.

Assessment Methods

A general written exam or, alternatively, two partial written exams (one midway through the course and one at the end of the course). The exams consist of exercises related to the syllabus. In the case of two partial exams, each grade counts for 50% of the final grade. The midterm exam lasts 1 hour and consists of 3 or 4 written exercises similar to those completed in class. The grade ranges from 0 to 30. Each exercise earns from 8 to 10 points depending on their complexity. The final exam for those who pass the midterm exam lasts 1 hour and consists of 3 or 4 written exercises related to the second part, similar to those completed in class. The grade ranges from 0 to 30. Each exercise earns from 8 to 10 points depending on their complexity. The final grade is the average of the two previous grades. If the midterm exam is not taken, the final exam lasts 1.5 hours and consists of 5 or 6 written exercises covering the entire syllabus. The grade ranges from 0 to 30. Each exercise is worth from 5 to 6 points depending on its complexity. It is allowed to use a calculator. The quantile tables of the fundamental distributions will be provided by the instructors during the exam. Grades will be announced via KIRO or ESSE3.

Texts

Introduzione alla statistica. Imparare dai dati di Marilyn K. Pelosi, Theresa M. Sandifer, Paola Cerchiello, Paolo Giudici, Third Edition, McGraw-Hill

1: Univariate analysis 2: Probability 3: Probability distributions 4: Sampling distributions and confidence intervals 5: Hypothesis testing 6: Univariate Hypothesis Testing 7: Bivariate analysis of the data 8: Bivariate Hypothesis Testing 9: Linear regression models 10: Multiple Linear regression models

Course Language

Italian

More information

Altre informazioni ALTRO 8000 No Le studentesse/ studenti iscritte/i al programma "Modalità didattiche inclusive" sono pregate/i di contattare il Docente e il Referente del Corso di Laurea al fine di valutare le esigenze specifiche e definire azioni di supporto mirate. Students enrolled in the Inclusive Learning Modalities programme (“Modalità didattiche inclusive) are requested to contact the Professor and the Degree Course Coordinator in order to assess specific needs and define targeted support actions.