- Docente: Maroussa Zagoraiou
- Credits: 8
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Forli
- Corso: First cycle degree programme (L) in Economics and business (cod. 9202)
Learning outcomes
At the end of the course students have the basic tools for analyzing and describing a set of data through graphical representations and numerical indexes. Moreover, the course aims at providing students with the main concepts of probability theory and inference.
Course contents
Part 1 – EXPLORATORY DATA ANALYSIS
Introduction. The data matrix. Type of variables. Frequency tables. Cumulative frequency distribution. Graphical representations. Summary statistics of location (mean, median, mode) and dispersion. Linear transformations. Two-way tables: joint, marginal and conditional frequencies. Association of two quantitative variables, covariance and correlation. Linear regression.
Part 2 – PROBABILITY
Random events, uncertainty, axioms of Probability, conditional probability and Bayes theorem. Discrete and continuous random variables, Central Limit theorem.
Part 3- STATISTICAL INFERENCE
Statistical models, population and sampling. Simple random samples and parametric inference. Parameters estimation and confidence intervals. Testing statistical hypotheses: normal and binomial models.
Readings/Bibliography
S. Borra e A. Di Ciaccio (2014) Statistica. Metodologie per le Scienze Economiche e Sociali (III ed.), McGraw-Hill Education.
Teaching methods
Traditional lectures and homework.
Assessment methods
Written examination. In some cases, an oral test could be required.
Teaching tools
Notes, exercises and slides.
Office hours
See the website of Maroussa Zagoraiou