Suppose (1,000, 2,100) is a 95% confidence interval for µ. 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 $\mu _ { c }$

Question

Suppose (1,000, 2,100) is a 95% confidence interval for µ. 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 $\mu _ { c }$

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The Answer of Suppose (1,000, 2,100) is a 95% confidence interval for µ. 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 $\mu _ { c }$

Suppose (1,000, 2,100) Is a 95% Confidence Interval for µ μc\mu _ { c }μc​

Suppose (1,000, 2,100) Is a 95% Confidence Interval for µ $\mu _ { c }$