- 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)
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from Sep 19, 2023 to Dec 12, 2023
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.
Tutor: Rosamarie Frieri
rosamarie.frieri2@unibo.it
Assessment methods
Written examination. In some cases, after the written exam, the lecturer may require an oral exam as a further tool of assessment of the student's preparation.
Grades
<18 fail
18-23 pass
24-26 satisfactory
27-28 good
29-30 very good
30 cum laude excellent
Teaching tools
Notes, exercises and slides.
Office hours
See the website of Maroussa Zagoraiou