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Because if whatever test you're using doesn't produce the same results for the same person each time (or approximately, depending on the type of test) then how do you know whether the test you are using is any good? (i.e., it's not reliable). For example, if 100 pregnant women took a pregnancy test and it showed positive 50% of the time and negative 50% of the time (i.e., it was unreliable) then how would you be able to trust the reading it gave you when you took it to see if you were pregnant?

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Q: Why is reliability important in experimental design and correlation research?
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