In statistical significance testing the p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed.

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Dealing with data means becoming comfortable with uncertainty, and A/B tests make this reality extremely apparent. Handling uncertainty wisely and using statistical tools like A/B tests well can give us the ability to make better decisions.