- Docente: Maurizio Brizzi
- Credits: 6
- SSD: SECS-S/01
- Language: Italian
- Moduli: Maurizio Brizzi (Modulo 1) Maurizio Brizzi (Modulo 2)
- Teaching Mode: Blended Learning (Modulo 1) Blended Learning (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Management and Marketing (cod. 8406)
-
from Feb 12, 2024 to Apr 22, 2024
-
from Apr 29, 2024 to May 17, 2024
Learning outcomes
After attending this course and passing the examination, candidates will be able to apply the adequate statistical techniques to perform a thorough quantitative analysis of economic and business phenomena.
Course contents
Exploratory statistics. Statistical data, classification of variables, table and graphical representations. Mean values and indices of variability, concentration and heterogeneity. Statistical ratios and index numbers.
Elements of probability. Events and logical operations. Combinatorics. Kolmogorov Axioms and basic probability theory. Conditional probability and Bayes formula. Discrete and continuous random variables.
Statistical inference. Population and sample. Statistics and estimators. Confidence intervals for frequency, mean and standard deviation. Testing hypotheses about frequencies and Gaussian parameters. Testing independence.
Sampling methods. Sampling probabilities. Simple random sampling and probabilised sampling. Stratified and cluster sampling.
Readings/Bibliography
Main reference textbook:
Maurizio Brizzi - Introduzione alla probabilità e all'inferenza statistica - libreriauniversitaria.it (only in Italian)
Other reference:
Sheldon M.Ross - Introduction to Probability and Statistics for engineers and scientists - Elsevier 2021
Teaching methods
Front lessons with examples and esercises.
Assessment methods
Written test, usually formed by three exercises. The first exercise deals with exploratory statistics, the second one with basic probability or interval estimation, the last one with hypotesis testing.
Oral test (about 20 minutes) related to the whole course program.
Teaching tools
A certain quantity of teaching sheets will be available to the students. These sheets will be uploaded to Virtuale.unibo platform.
Office hours
See the website of Maurizio Brizzi