If alpha is made more stringent, beta increases.

Question

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When alpha is made more stringent (i.e. the level of significance is decreased), it means that the researcher is less willing to accept a type I error (rejecting the null hypothesis when it is actually true). This increases the chances of a type II error (failing to reject the null hypothesis when it is false), which is represented by beta. Therefore, as alpha becomes more stringent, beta is likely to increase.

If Alpha Is Made More Stringent, Beta Increases