In the realm of hypothesis testing, researchers aim to affirm or disprove a given claim about a population. However, there's always a chance that we might fall into an error. Two primary types of errors exist: Type I and Type II. A get more info Type I error occurs when we invalidate the null hypothesis when it is actually true, meaning we assert a

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