Consequences of a Type I Error
Which of the following correctly identifies the potential consequence of committing a Type I error in a significance test?
A
A Type I error arises solely from large sample sizes, making the test unreliable.
B
A Type I error means that the test did not have enough power to detect a true effect.
C
A Type I error indicates that the confidence interval was too narrow to capture the true parameter.
D
A Type I error leads to accepting a false null hypothesis, thereby failing to act when necessary.
E
A Type I error results in rejecting a true null hypothesis, potentially leading to unnecessary changes or actions.
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