when sample size increases, everything else remaining the same, the width of a confidence interval decreases.
The sample size is defined as the the number of observations or participants included in a study.
The confidence interval is defined as the mean of the estimate plus and minus the variation in that estimate. That means when you do the test multiple times, then the value may be vary from the estimated value. The confidence interval is the range of those values.
So when the sample size increases the width of the confidence interval decreases
Hence, when sample size increases, everything else remaining the same, the width of a confidence interval decreases.
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