Eyal Kazin Presents:
Don't Stop 'til You Get Enough - Hypothesis Testing Stop Criterion with “Precision Is The Goal”
In hypothesis testing the stopping criterion for data collection is a non-trivial question that puzzles many analysts. This is especially true with sequential testing where demands for quick results may lead to biassed ones. Kazin shows how the belief that Bayesian approaches magically resolve this issue is misleading and how to obtain reliable outcomes by focusing on sample precision as a goal.
Slides: https://bit.ly/precision-goal
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