Medical researchers are testing a new surgical procedure designed to minimize the side effects of surgery. The null hypothesis is that the procedure is not effective in minimizing side effects. For the researchers, the more consequential error would be that the procedure actually is effective in minimizing the side effects, but the test does not detect the effectiveness of the procedure. Which of the following should the researchers do to avoid the more consequential error?
(A) Increase the significance level to increase the probability of a Type I error.
(B) Increase the significance level to decrease the probability of a Type I error.
(C) Decrease the significance level to increase the probability of a Type I error.
(D) Decrease the significance level to decrease the probability of a Type I error.
(E) Decrease the significance level to decrease the standard error.

Question

25-01-2022
Mathematics

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Medical researchers are testing a new surgical procedure designed to minimize the side effects of surgery. The null hypothesis is that the procedure is not effective in minimizing side effects. For the researchers, the more consequential error would be that the procedure actually is effective in minimizing the side effects, but the test does not detect the effectiveness of the procedure. Which of the following should the researchers do to avoid the more consequential error?
(A) Increase the significance level to increase the probability of a Type I error.
(B) Increase the significance level to decrease the probability of a Type I error.
(C) Decrease the significance level to increase the probability of a Type I error.
(D) Decrease the significance level to decrease the probability of a Type I error.
(E) Decrease the significance level to decrease the standard error.

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topeadeniran2 topeadeniran2 · Answer 1 · 2022-02-04T20:12:57+01:00

In order to avoid the more consequential error, the appropriate thing to do is A. Increase the significance level to increase the probability of a Type I error.

Type I error

It can be deduced that type I error is the error that occurs during a hypothesis testing when the null hypothesis is rejected.

The null hypothesis is that the procedure is not effective in minimizing side effects and the more consequential error would be that the procedure actually is effective in minimizing the side effects.

In this case, for the researchers do to avoid the more consequential error, he should increase the significance level to increase the probability of a Type I error.

Learn more about Type 1 error on:

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