Question

Suppose the results indicate that the null hypothesis should be rejected; thus, it is possible that...

Suppose the results indicate that the null hypothesis should be rejected; thus, it is possible that a type I error has been committed.

Given the type of error made in this situation, what could researchers do to reduce the risk of this error?

Change the significance level from .05 to .001

Change the significance level from .05 to .01

Increase the sample size

Math   Statistics-And-Probability   
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Answer #1

The possibility of type I error can be decreased when the level of significance for the test is decreased, therefore

Change the significance level from .05 to .001

Change the significance level from .05 to .01

Both of the above statements are correct here.

Note that the level of significance is the probability of rejecting the null hypothesis when it is in fact true, therefore it is actually the probability of type I error. ( therefore the above 2 statements are true here)

Note that the sample size has no effect on the probability of Type I error

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