As the sample size increases, the standard error decreases. This is because the standard error is calculated as the standard deviation divided by the square root of the sample size. A larger sample size provides more information about the population, leading to a more precise estimate of the population mean, which reduces variability in the sample mean. Thus, with larger samples, the estimates become more reliable.
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