- Docente: Alessandro Baldi Antognini
- Credits: 3
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Forli
- Corso: Second cycle degree programme (LM) in Economics and management (cod. 6801)
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from Nov 11, 2025 to Dec 11, 2025
Learning outcomes
At the end of the course, students have acquired knowledge of the main statistical techniques for exploratory data analysis and the fundamental concepts of inference from random samples. The learnt techniques cover graphical tools and summary measures for single and multiple variables, estimation and hypothesis testing for Gaussian and Binomial populations.
Course contents
1) Univariate descriptive statistics
- frequencies, means and quantiles, variability measures
2) Bivariate descriptive statistics
- tables, frequencies, association indices, covariance and linear regression
3) Probability
- basic probability, probability distributions
- discrete random variables
- continuous random variables
- independence, sequence of r.v. and central limit theorem
4) Inference
- estimation methods (point estimation and confidence intervals);
- hypothesis testing
Readings/Bibliography
S. Borra e A. Di Ciaccio (2008) Statistica. Metodologie per le Scienze Economiche e Sociali (IV ed.), McGraw-Hill.
P. Newbold, W.L. Carlson e B. Thorne (2022) Statistics for Business and Economics, Global Edition.
Teaching methods
During the lessons both theoretical problems and exercises will be discussed. Teaching material is available online (Virtuale).
Assessment methods
The exam is conducted in the same manner for both attending and non-attending students. The exam syllabus covers only the topics actually addressed during lectures. During the exam, the lecture notes uploaded online or the recommended textbooks could be used.
The purpose of the exam is to assess the achievement of the learning objectives related to the understanding of basic statistical tools. The exam is intended to verify the following goals:
i) knowledge of the statistical tools presented during the lectures;
ii) ability to use these tools for data analysis;
iii) ability to interpret the phenomenon under study and to make decisions based on the results of the analyses.
The exam consists of a mandatory written test
Teaching tools
Slides, lecture notes, exercises are available on Virtuale.
Office hours
See the website of Alessandro Baldi Antognini