Researchers are testing a new diagnostic tool designed to identify a certain condition. The null hypothesis of the significance test is that the diagnostic tool is not effective in detecting the condition. For the researchers, the more consequential error would be that the diagnostic tool is not effective, but the significance test indicated that it is effective. Which of the following should the researchers do to avoid the more consequential error? Increase the significance level to increase the probability of Type I error. A Increase the significance level to decrease the probability of Type I error. B Decrease the significance level to increase the probability of Type I error. C Decrease the significance level to decrease the probability of Type I error. D Decrease the significance level to decrease the standard error.
Researchers are testing a new diagnostic tool designed to identify a certain condition. The null hypothesis of the significance test is that the diagnostic tool is not effective in detecting the condition. For the researchers, the more consequential error would be that the diagnostic tool is not effective, but the significance test indicated that it is effective.
Which of the following should the researchers do to avoid the more consequential error?
-
Increase the significance level to increase the probability of Type I error.
A -
Increase the significance level to decrease the probability of Type I error.
B -
Decrease the significance level to increase the probability of Type I error.
C -
Decrease the significance level to decrease the probability of Type I error.
D -
Decrease the significance level to decrease the standard error.
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