ID:
500026
Duration (hours):
66
CFU:
9
SSD:
STATISTICA
Year:
2025
Overview
Date/time interval
Secondo Semestre (16/02/2026 - 23/05/2026)
Syllabus
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
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
General written test or, alternatively, two partial written tests (one halfway through the course, the other one at the end of the course). The tests consist of exercises related to the program.
In the case of two partials each consists of 3 exercises and each score weighs 50% of the final vote.
The intermediate test lasts 1 hour and is made up of 3 written exercises similar to those carried out in class. The rating goes from 0 to 30 (plus laude), and each exercise weights between 8 and 12 points depending on the difficulties.
The final test lasts 1 hour and consists of 3 written exercises on the second part and similar to those carried out in class. The rating goes from 0 to 30 (plus laude), each exercise weights between 8 and 12 points depending on the difficulties.
The final score is the simple average of the two previous scores.
If the intermediate test is not taken, the final exam lasts 1 hour and half and consists of 5 written exercises covering the entire program. The rating goes from 0 to 30. Each exercise weights between 4 and 8 points depending on the difficulties.
It is possible to use the calculator and the quantile tables of the fundamental distributions that will be provided by the teachers during the exam.
votes will be announced via kiro or esse3.
Texts
Cerchiello, Giudici: Statistica. Imparare dai dati con Machine Learning, McGraw-Hill, 2023.
ISBN-10 : 1307918778
Contents
1: Univariate analysis
2: Probability
3: Probability distributions
4: Sampling distributions and confidence intervals
5: Hypothesis testing
6: Univariate Hypothesis Testing
7: Bivariate Hypothesis Testing
8: Bivariate analysis of the data
9: Linear regression models
10: Predictive models 11: Classification models
Course Language
Italian
More information
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.
Degrees
Degrees (3)
BUSINESS ADMINISTRATION AND GOVERNANCE
Bachelor’s Degree
3 years
BUSINESS MANAGEMENT
Bachelor’s Degree
3 years
ECONOMICS
Bachelor’s Degree
3 years
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