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- OpenCV
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- 2018-04-11
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- louietj
Description: The significance test (significance test) is to make a hypothesis on the parameters of the total (random variable) or the overall distribution in advance, and then use the sample information to judge whether the hypothesis is reasonable, that is, to judge whether there is a significant difference between the real situation and the original hypothesis. Or, the difference between the significance test and the assumptions we do on the whole is purely an opportunity variation, or is it caused by the disagreement between the assumptions we do and the overall reality. The significance test is to test the assumptions we do on the whole, and the principle is to accept or deny the hypothesis, "the principle of the actual impossibility of small probability events". Sampling experiments will produce sampling errors. When comparing
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