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Statistical Probability and Scientific Certainty

A.Y. 2025/2026
6
Max ECTS
42
Overall hours
SSD
M-FIL/02 SECS-P/11
Language
English
Learning objectives
Undefined
Expected learning outcomes
Undefined

Lesson period: First semester

Lessons timetable

Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi

Exams calendar

Single course

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Course syllabus and organization

Single session

Responsible
Brighi Paola
Lesson period
First semester
Course syllabus
Data Analysis

Describing the Distribution of a Variable
a. Time series variables
b. Using Excel for filtering, sorting, and summarizing data

Identifying Relationships Among Variables

Probability & Probability Distributions
a. Summary measures (mean, median, and variance)
b. Frequency distribution

Examples Using Financial Data
Prerequisites for admission
The course has no specific prerequisites, except for a basic understanding of percentages, growth rates, working with datasets, using basic Excel functions, and fundamental financial concepts.
Teaching methods
PowerPoint presentations and Excel exercises.
Teaching Resources
Details will be given at the beginning of the course.
Assessment methods and Criteria
The exam aims to assess the achievement of the following learning objectives:
1. Knowledge of the main theoretical concepts.
2. Ability to analyze economic, financial, and business phenomena from a practical point of view.

The exam consists in a written test.
Modules or teaching units
Philosophy of Science
M-FIL/02 - LOGIC AND PHILOSOPHY OF SCIENCE - University credits: 3
Lessons: 21 hours
Statistics
SECS-P/11 - FINANCIAL MARKETS AND INSTITUTIONS - University credits: 3
Lessons: 21 hours
Professor: Brighi Paola
Professor(s)