AType error is defined as failing to reject a false null hypothesis failing to r
ID: 3171275 • Letter: A
Question
AType error is defined as failing to reject a false null hypothesis failing to reject a true null hypothesis rejecting a false null hypothesis rejecting a true null hypothesis which alpha level provides the smallest chance of committing a Type I error?I a -10 a .025 In most research situations, the goal is to reject the null hypothesis. True False If you fail to reject the null hypothesis, it means that the data do not provide sufficient eyidence to say that the treatment has an effect. True False Increasing the alpha level from .01 to .0s wil increase the power of a statistical test. TrueExplanation / Answer
1. D. Rejecting the null hypothesis when it's actually true is called type 1 error
2. A.
3. True
4.true
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