For a given level of significance,if the sample size is increased,the probability of committing a Type II error will decrease.

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Increasing the sample size will generally increase the power of the test, which is the probability of correctly rejecting a false null hypothesis (i.e. avoiding a Type II error). Therefore, increasing the sample size will decrease the probability of committing a Type II error, for a given level of significance.

For a Given Level of Significance,if the Sample Size Is