Question #62838

Which sample size will produce a margin of error of ±4.1%?

856

595

782

362
1

Expert's answer

2016-10-24T04:38:09-0400

Answer on Question #62838 – Math – Statistics and Probability

Question

Which sample size will produce a margin of error of ±4.1%\pm 4.1\%?

856

595

782

362

Solution

For a 95%95\% confidence level, standard deviation σ\sigma and sample size nn, the margin of error is given by


±1.96σn=±E=±0.041.\pm 1.96 \frac{\sigma}{\sqrt{n}} = \pm E = \pm 0.041.


Hence


n=(1.96σE)2=1.962σ2E2=2285.306σ2.n = \left(\frac{1.96\sigma}{E}\right)^2 = \frac{1.96^2 \sigma^2}{E^2} = 2285.306 \sigma^2.


For a 95%95\% confidence level E0.98nE \approx \frac{0.98}{\sqrt{n}}, hence


n(0.98E)2=(0.980.041)2571n \approx \left(\frac{0.98}{E}\right)^2 = \left(\frac{0.98}{0.041}\right)^2 \approx 571


For a 99%99\% confidence level E1.29nE \approx \frac{1.29}{\sqrt{n}}, hence


n(1.29E)2=(1.290.041)2990n \approx \left(\frac{1.29}{E}\right)^2 = \left(\frac{1.29}{0.041}\right)^2 \approx 990


For a 90%90\% confidence level E0.82nE \approx \frac{0.82}{\sqrt{n}}, hence


n(0.82E)2=(0.820.041)2400n \approx \left(\frac{0.82}{E}\right)^2 = \left(\frac{0.82}{0.041}\right)^2 \approx 400


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