The related link in section 2.4.1 has a good explanation of error which is: "Error is defined as the difference between an individual result and the true value".
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Accept lower p-values (meaning lower in magnitude; values tending toward zero).--And don't forget that by reducing the probability of getting a type I error, you increase the probability of getting a type II error (inverse relationship).
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An experimental error is is
A theoretical error is an error that is not quite proven, which means that it is also arguably not an error.