Consider the approximation. Use the central limit theorem to roughly estimate how big n must be...
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Consider the approximation. Use the central limit theorem to roughly estimate how big n must be so that we have 95% confidence that our computed approximation will be within .001 of the actual value. In developing your rough estimate, you should not use the actual value of , but you can use something like 3. How big must n be if we want to be within .0001? The ratio of areas is ((Pi*D*D)/4)/D*D) Consider the approximation. Use the central limit theorem to roughly estimate how big n must be so that we have 95% confidence that our computed approximation will be within .001 of the actual value. In developing your rough estimate, you should not use the actual value of , but you can use something like 3. How big must n be if we want to be within .0001? The ratio of areas is ((Pi*D*D)/4)/D*D)
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We have PZ c 095 where Z is a standard normal random variable We want to solve ... View the full answer
Related Book For
Introduction to Probability and Statistics
ISBN: 978-1133103752
14th edition
Authors: William Mendenhall, Robert Beaver, Barbara Beaver
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