- 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. 9203)
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from Nov 05, 2024 to Dec 06, 2024
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
The course material is available on Virtuale. Theoretical and practical classes are given, with the help of slides and notes.
Assessment methods
Written test.
Teaching tools
Slides, notes, exercises are available on Virtuale.
Links to further information
Office hours
See the website of Alessandro Baldi Antognini