Hypothesentest, Fehler 1. und 2. Art berechnen | Verständlich erklärt
This section clearly explains how to calculate Type I and Type II errors in hypothesis testing. Specifically, it deals with calculating the probabilities of incorrectly choosing the null hypothesis (Type I error) or incorrectly choosing the hypothesis (Type II error) during a hypothesis test. First, you need to identify and write down the following information: the hypotheses and their probability of success; the test statistic X; the sample size n; and the decision rule. The actual calculation of the error probabilities is then performed using the binomial distribution and its standard principles and rules. I will explain the entire topic clearly using an example problem.

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Binomial distribution, n sought | Explained in simple terms

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Recognizing Type 1 and Type 2 Errors - Examples

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