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A significance level of 2.5 percent means the researcher accepts what chance of a Type I error?
AJust 2.5 percent
BA full 25 percent
CSome 97.5 percent
DOnly 0.25 percent
Answer & Solution
Correct answer: A. Just 2.5 percent
1. The level of significance is chosen before the data are examined.
2. A hypothesis test can be conducted using a 2.5 percent level of significance.
3. That level is the probability of rejecting a true null hypothesis that the researcher is willing to tolerate.
4. Rejecting a true null is exactly the Type I error.
_Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 9 'Hypothesis Testing with One Sample', sections 9.1-9.6_
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