This is because, in this study, we suppose a tested sub-region to be a shadow sub-region first, and we can judge whether this guess holds true or not by other properties.
For example, suppose a researcher wishes to test the hypothesis that a sample of size n = 25 with mean x = 79 and standard deviation s = 10 was drawn at random from a population with mean μ = 75 and unknown standard deviation.
Let's suppose a man passes his driving test.
Suppose a woman considering pregnancy is tested to determine whether she carries genetic traits that could harm her child.
Suppose an intravenous drug user undergoes testing where experience has indicated a 25 percent chance that the person has HIV; thus, the prior probability Pr(H) is 0.25, where H is the hypothesis that the person has HIV.
The conundrum is the following: Suppose c is a test score above which there is success, and below which there is failure.
Suppose we have a test alignment of N sequences and M blocks.
Suppose we want a test with an FDR level of κ.
For this example, suppose the test has a sensitivity of 95%, or 0.95.
