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Charlotte Lee——Studied at the University of São Paulo, Lives in São Paulo, Brazil.
With the Type II error, a chance to reject the null hypothesis was lost, and no conclusion is inferred from a non-rejected null. But the Type I error is more serious, because you have wrongly rejected the null hypothesis and ultimately made a claim that is not true.read more >>+119962023-06-26 06:56:23
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