Answer:
Step-by-step explanation:
Given that in the equation for a confidence interval, the sample size is located in the denominator underneath the radical sign.
In hypothesis testing we have
Confidence interval = Mean ±Margin of error
= Mean±Z critical*std dev/sqrt n
Thus we find that whenever n increases, sqrt of n increases, margin of error decreases and as a result we find that whenever sample size increases then sqrt n also increases which in turn reduces the wirth of confidence interval.
