How does increasing the sample size influence the confidence interval?
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Increasing the sample size reduces the width of the confidence interval, making it narrower. This happens because a larger sample size decreases the standard error (the variability of the sample mean), which leads to more precise estimates of the population parameter. A smaller standard error results in a smaller margin of error, thus narrowing the confidence interval and increasing the precision of the estimate.