When conducting a hypothesis test about a population mean,other relevant factors held constant,increasing the level of significance from .05 to .10 will reduce the probability of a Type I error.

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Increasing the level of significance from .05 to .10 actually increases the probability of a Type I error, as it widens the criteria for rejecting the null hypothesis, thus making it easier to incorrectly reject a true null hypothesis.

When Conducting a Hypothesis Test About a Population Mean,other Relevant