As alpha increases, the likelihood of H₀ being true also increases.

Name: As alpha increases, the likelihood of H 0 being true also increases.
Brand: Quizplus
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Question

Quizplus · Accepted Answer

Alpha represents the significance level in hypothesis testing, which is the probability of rejecting a true null hypothesis (Type I error). Increasing alpha does not directly affect the likelihood of a hypothesis being true; it only increases the chance of rejecting the null hypothesis, whether it is true or false.

As Alpha Increases, the Likelihood of H0 Being True Also

As Alpha Increases, the Likelihood of H₀ Being True Also