What You'll Learn
Understand the core difference between p-values and Chance to Beat Control.Learn why Bayesians & Frequentists converge with uninformed priors.Grasp why the chance of a winner being false is quite high.See through the limitations of both approaches.This Webinar Is For You If
This talk is for you if:
You have been considering choosing Bayesian statistics for your A/B tests.You constantly feel a lot of your winners turn out to be false.You want to include prior knowledge in statistical inference, but are unsure how.You are just confused about the difference between the two schools of statistics.After this talk, you will be clear where the difference between Bayesians and Frequentists matters and where it does not.
Hi, I am Ishan Goel, a statistician, educator and founder of Thinking Bell.
I previously led data science research at VWO, where I built VWO's Stats Engine.
Today, I teach experimentation statistics through analogies, simulations, games, doodles and real-world problems, making difficult statistical ideas intuitive and useful.
I have also taught experimentation and statistics to cross-functional teams across product, marketing and data, including a 60-person training programme at The Economist.
My goal is simple: help people reason confidently about experiments without turning them into statisticians.
Stat-Talk #6