Suppose we have n independent hypotheses to test, none of which is true. We set our significance criterion at p < 0.05. The probability of obtaining at least one false positive among the n tests is as follows: P(false positive) = 1 – (1 – 0.05)n For n = 100, the false positive probability increases to 99%.
