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Old October 28, 2018, 21:15   #41
fph
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Join Date: Apr 2009
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Quote:
Originally Posted by Nick View Post
This is a common complaint, usually refuted by an appeal to advanced mathematical statistics
As an expert in advanced mathematics , the binomial test for 26 failures out of 335 at 4% failure rate gives a one-sided p-value of 0.00114. This means that you can expect to observe 26 or more failures about 0.11% of the times.

Usually, in a single, non-repeated experiment, a result is considered statistically significant if the p-value is 0.05 or below. So yes, that seems a statistically unusually high failure rate, and worth investigating. There is usually a reporting bias, in that only 'unusual' results get reported to the devs, so the best thing would be collecting completely new data to test it.
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Last edited by fph; October 28, 2018 at 21:21.
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