No, it doesn't. It means that there is a 1 in 20 chance that you would have seen results as good or better if your change had no effect (assuming a standard one-sided hypothesis test). Thus if the effect appears to be good, you should take the test as some evidence that it is worth implementing.
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No, it doesn't. It means that there is a 1 in 20 chance that you would have seen results as good or better if your change had no effect (assuming a standard one-sided hypothesis test). Thus if the effect appears to be good, you should take the test as some evidence that it is worth implementing.
Right, that's a specific use, but I'm speaking of a two-sided test where you're indifferent between alternatives.