Here, we talk about an important tool in statistics and in science, a p-value (or P value). A p-value is useful when comparing experimental data to the prediction of a null hypothesis, but is often misunderstood or used incorrectly. Here, we define a p-value and do a simple example which involves flipping a coin. We also talk about several misconceptions that people commonly have about p-values.
Links mentioned in the video:
Discoveries in Particle Physics playlist:
https://www.youtube.com/watch?v=DKpTW0QQYlo&list=PLzk87GkUC3kbN6aOzazKnU64QSdbUy0Am
Binomial Statistics Playlist:
https://www.youtube.com/watch?v=QP9tYZMQrvA&list=PLzk87GkUC3kbI43SmfEXtNx2rK5Tpy9et
Bayesian Playlist:
https://www.youtube.com/watch?v=MC67rpF_VBI&list=PLzk87GkUC3kadiMZaKz5hyh-wuJEINxff
