Analysts need to weigh the likelihood and impact of type II errors with type I errors. When testing a statistical hypothesis, there are two primary types: the null hypothesis and the alternative ...

In Hypothesis Testing 1, you were introduced to the ideas of hypothesis testing in the context of deciding whether a coin was fair or biased in favor of heads. In this section hypothesis testing ...

Hypothesis testing comes to the aid for such decision ... These cases constitute Type 1 (alpha) and Type 2 (beta) errors, as indicated in the table above. Selecting the correct critical value ...