- Docente: Alessandro Lubisco
- Credits: 6
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Management and Marketing (cod. 6613)
Learning outcomes
After attending the course, students will be able to apply several statistical techniques, in order to evaluate and analyse a set of economic and business data.
Course contents
First section: exploratory statistics
Statistical data: classification and representation. Mode, median and centiles. Analytic mean values. Measures of variability and concentration. Indices of heterogeneity. Statistical ratios and index numbers. The relationship between two variables. Measures of association. Linear regression and correlation.
Second section: elements of probability
Events and logical operations. Space of events. Combinatorics. Axioms and elementray probability. Conditional probability and Bayes formula. Discrete random variables and distribution models. Continuous random variables and distribution models.
Third section: statistical inference
Population and sample. Sample statistics and estimators. Sample distributions. Confidence intervals for estimating a frequency and a mean. Hypothesis testing about mean values and frequencies. Tests of independence.
Fourth section: sampling methods
Sampling plan and sampling strategy. Simple random sampling. Stratified sampling. Cluster sampling.
Readings/Bibliography
Work in progress
Teaching methods
Frontal lessons.
Assessment methods
Written and oral exam.
Details to be defined
Teaching tools
Blackboard and slides.
All material will be published on the Virtuale platform.
Office hours
See the website of Alessandro Lubisco
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.