47732 - STATISTICS

Conoscenze e abilità da conseguire

By the end of this course students are able to: - analyze a dataset using numerical indexes and graphical representations; - apply basic tools of probability theory; - produce estimates of population parameters from sample data; - evaluate statistical hypotheses; - apply least square regression analysis.

Contenuti

1. Introduction to data: Data basics; Sampling principles; Experiments and observational studies
2. Summarizing data: Examining numerical data; Considering categorical data
3. Probability: Defining probability; Conditional probability; Bayes theorem
4. Random variables: Discrete and continuous; Expectation;
5. Distributions of random variables: Normal; Geometric; Bernoulli; Binomial
6. Foundations for inference: Point estimates; Confidence intervals; Hypothesis testing
7. Linear Regression

Testi/Bibliografia

David M Diez, Christopher D Barr, Mine C ̧etinkaya-Rundel (2015). OpenIntro Statistics (Fourth Edition).

You can download a free pdf version here: https://openintro.org/book/os/

Metodi didattici

Lectures.

Modalità di verifica e valutazione dell'apprendimento

Written exam, with multiple open questions about all topics covered.

Strumenti a supporto della didattica

Virtuale (virtuale.unibo.it) contains all the material used during the classes.

Link ad altre eventuali informazioni

https://www.unibo.it/sitoweb/monica.chiogna2/

Orario di ricevimento

Consulta il sito web di Simone Tiberi