Is a 99% confidence interval with n=50 a better chance of capturing the populations mean height or is a 90% confidence interval with n=100 a better chance?
Looks like you'll need to calculate the margin of error for each case, and then compare them. The situation that results in a smaller margin of error has the better chance of 'capturing" the mean height. Hints: For a 99% confidence interval, the z critical value is 2.575 (better check this for accuracy!!); for a 90% conf. int., the z critical value is 1.645. More hints: use S as the standard deviation in both cases. Then, for a sample of 50, the sample standard deviation is S/Sqrt(50); for a sample of 100, the sample s. d. is S/Sqrt(100). The Margin of Error is calculated as follows:\[(z-critical-value)*\frac{ S }{ \sqrt{n} }\]
Awesome thanks :)
My pleasure!!
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