Explore the intricacies of statistical interpretation in this 42-minute talk by Jennifer Rogers at The Royal Institution. Delve into topics such as causation vs. correlation, relative and absolute risk, and how to critically evaluate statistics presented in media headlines. Learn to distinguish between misleading and accurate statistical claims, using real-world examples from health studies, traffic safety, and customer satisfaction surveys. Gain insights into hypothesis testing, the concept of uncertainty, and the importance of understanding small probabilities. Equip yourself with the knowledge to navigate through complex statistical information and make informed decisions based on data.
Overview
Syllabus
Intro
Pancreatic Cancer
Correlation vs Causation
Other factors associated with dementia
Speed cameras
Sports
London vs New York
Ryanair
Ryanair example
Small probabilities dont mean rare events
Ryanair admits to lying
Customer satisfaction survey
Why is this an issue
What is uncertainty
Hypothesis testing
Final Graphics
Taught by
The Royal Institution
