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#55 Getting Your First Data Science Job
DataFramed
Best Practices for a B Testing
Sergeant: There are many ways a b testing go wrong, but most of them won't be obvious. The first guide line is to have one k metric per experiment. If there was no difference, then we'll go ahead and say, ok, we're going to reject the null is and assumed that there was a real difference. But generally, there's a rule of thumb that if your pa value is less than point zero, five,. so here's a less than five % chance of getting a false positive.
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