In hypothesis testing, the significance level represents the probability of A. committing a Type I error. B. committing a Type II error. C. rejecting the null hypothesis when it is in fact false. D. failing to reject the null hypothesis when it is in fact true.
In hypothesis testing, the significance level represents the probability of A. committing a Type I error. B. committing a Type II error. C. rejecting the null hypothesis when it is in fact false. D. failing to reject the null hypothesis when it is in fact true.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 55E
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In hypothesis testing, the significance level represents the probability of
A. committing a Type I error.
B. committing a Type II error.
C. rejecting the null hypothesis when it is in fact false.
D. failing to reject the null hypothesis when it is in fact true.
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