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Consequences of a Type I Error
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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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