Increasing the sample size decreases the width of confidence intervals, because it decreases the standard error.
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How does increasing the sample size affect the width of the interval ?</h3>
A confidence interval is the mean of your estimate plus and minus the variation in that estimate. Confidence, in statistics, is another way to describe probability.
Increasing the sample size makes the confidence interval narrower.
Decreasing the sample size makes the confidence interval wider.
The larger your sample, the more sure you can be that their answers truly reflect the population.
This indicates that for a given confidence level, the larger your sample size, the smaller your confidence interval.
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