00914 - Statistics

Learning outcomes

The knowledge of the fundamental tools of probability and statistics.

Course contents

Part 1 – DESCRIPTIVE STATISTICS

Data and variable. Description of the observed distribution of a categorical/quantitative variable. Description of the observed distribution of two variable and contingency tables. Linear relationship between two quantitative variables.

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 (2008) Statistica. Metodologie per le Scienze Economiche e Sociali (IV ed.), McGraw-Hill.
P. Newbold, W.L. Carlson e B. Thorne (2021) Statistica (IX ed.), Pearson-Prentice Hall.

Teaching methods

Lectures, problem classes, homework

Assessment methods

Written test.

Grades:

<18 fail

18-23 pass

24-26 satisfactory

27-28 good

29-30 very good

30 e lode excellent

Teaching tools

Notes, exercises and slides

Office hours

See the website of Alessandro Baldi Antognini

See the website of Rosamarie Frieri