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

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As sample size increases, the standard error of the mean decreases and the distribution of sample means becomes more normal, leading to a more precise estimate of the population mean. This also results in the critical region boundaries moving closer to zero, making it more difficult to reject the null hypothesis.

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