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Question 664:



No answer provided yet.The idea behind hypothesis testing and the null hypothesis, and for statistics in general is to make decisions based on a sufficient level of evidence. In statistics, you are really never 100% certain about anything. Instead you have strong, weak or no evidence in favor of an idea. When we fail to reject the null, it could just be that we have insufficient evidence, but the NULL might indeed be false, therefore the answer to this is false.

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