Suppose $( 1,000,2,100 )$ is a $95 \%$ confidence interval for $\mu$. To make more useful inferences from the data, it is desired to reduce the width of the confidence interval. Explain why an increase in sample size will lead to a narrower interval of the estimate of $\mu$.

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The Answer of Suppose $( 1,000,2,100 )$ is a $95 \%$ confidence interval for $\mu$. To make more useful inferences from the data, it is desired to reduce the width of the confidence interval. Explain why an increase in sample size will lead to a narrower interval of the estimate of $\mu$.

Suppose (1,000,2,100)( 1,000,2,100 )(1,000,2,100) Is A 95%95 \%95% Confidence Interval For μ\muμ to Make More Useful Inferences from the Data, It

Suppose $( 1,000,2,100 )$ Is A $95 \%$ Confidence Interval For $\mu$ to Make More Useful Inferences from the Data, It