This activity involved the creation of a short 3-minute video, complete with images and a script, offering a simple and reusable explanation of Bayes' theorem through an intuitive everyday example. The video clearly breaks down the core steps of Bayesian thinking: establishing our prior knowledge, observing new data, updating our beliefs, and evaluating how the final assessment changes in light of the new evidence. This animation was produced by Futurum Careers, a free online resource and magazine aimed at encouraging 14-to-19-year-olds worldwide to pursue careers in science, technology, engineering, maths and medicine (STEM), and social sciences, humanities and the arts for people and the economy (SHAPE): futurumcareers.com)
Allegati
-
Referente
-
Catia Scricciolo
-
Dipartimento
-
Scienze Economiche
-
Obiettivi
- Rendering the scientific concept of Bayesian updating accessible by illustrating its concrete practical usefulness.
-
Destinatari
- Professionisti/Professioniste; Adolescenti; Adulti; Studenti/Studentesse; Personale non docente; Insegnanti e Personale docente
-
Aree scientifiche coinvolte
- AREA MIN. 01 - Scienze matematiche e informatiche; AREA MIN. 06 - Scienze mediche; AREA MIN. 13 - Scienze economiche e statistiche
-
Fa parte di
- Noise complaints: how statistical innovations are cleaning up noisy data
-
Categoria prevalente
- Pubblicazioni (cartacee e digitali) dedicate al pubblico non accademico: Pubblicazioni (cartacee e digitali) dedicate al pubblico non accademico
Sustainable Development Goals - SDGs
Questa iniziativa contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.
Maggiori informazioni su www.univr.it/sostenibilita
