In hypothesis testing, Type I error is: A)always set at 5 percent. B)smaller than or equal to 5 percent. C)the probability of rejecting H₀ when H₀ is true. D)the probability of rejecting H₀ when H₁ is true.

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Type I error is the probability of rejecting the null hypothesis (H₀) when it is actually true. It is not always set at 5 percent, but rather depends on the level of significance chosen by the researcher. It can be smaller or larger than 5 percent. Option D refers to a different scenario, where the null hypothesis is false.

In Hypothesis Testing, Type I Error Is