As sample size increases,the critical region boundaries for a two-tailed test with  = .05 will move closer to zero.

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This is true because as sample size increases, the standard error decreases, which means that the distribution of the test statistic becomes narrower and more concentrated around the mean. This allows for more precise estimation of population parameters and greater confidence in rejecting the null hypothesis. As a result, the critical region boundaries move closer to zero, making it more difficult to reject the null hypothesis.

As Sample Size Increases,the Critical Region Boundaries for a Two-Tailed