Episode 33: Probability (and Tom's new book)
The Studies Show
Statistical Significance vs. Bayesian Approach
- Statistical significance assesses the likelihood of observed results assuming no real effect exists.
- This contrasts with the Bayesian approach, which infers characteristics of the whole from a smaller sample.
- Statistical significance and p-values cannot provide information about the whole.
- Statistical significance works by assuming the null hypothesis is true, then calculating the chances of obtaining the observed data, which is distinct from Bayesian inference.
- Bernoulli's ball experiment involves drawing balls from an urn to illustrate probability, a common example in statistics.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
