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4. An astronomer wants to approximate the distance d (in light years) from Earth to a distant star using a certain measuring device. To obtain an esimate, she makes a series of measurements and then takes the average d. She believes that measurement errors are not systematic, and hence each measurement can reasonably be modeled as an independent random variable with mean d, the true (unknown) distance, and a variance of 4 light years squared (that is, the standard deviation is o = 2 light years). Using the Central Limit Theorem, determine the number of measurements n required in order to be approximately 95% sure that the estimated distance d is accurate to within +0.5 light years of the true distance d.

4. An astronomer wants to approximate the distance d (in light years) from Earth to a distant star using a certain measuring device. To obtain an esimate, she makes a series of measurements and then takes the average d. She believes that measurement errors are not systematic, and hence each measurement can reasonably be modeled as an independent random variable with mean d, the true (unknown) distance, and a variance of 4 light years squared (that is, the standard deviation is o = 2 light years). Using the Central Limit Theorem, determine the number of measurements n required in order to be approximately 95% sure that the estimated distance d is accurate to within +0.5 light years of the true distance d.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 14PPS
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4. An astronomer wants to approximate the distance d (in light years) from Earth to a distant star using a certain measuring device. To obtain an esimate, she makes a series of measurements and then takes the average d. She believes that measurement errors are not systematic, and hence each measurement can reasonably be modeled as an independent random variable with mean d, the true (unknown) distance, and a variance of 4 light years squared (that is, the standard deviation is o = 2 light years). Using the Central Limit Theorem, determine the number of measurements n required in order to be approximately 95% sure that the estimated distance d is accurate to within ±0.5 light years of the true distance d.
Transcribed Image Text:4. An astronomer wants to approximate the distance d (in light years) from Earth to a distant star using a certain measuring device. To obtain an esimate, she makes a series of measurements and then takes the average d. She believes that measurement errors are not systematic, and hence each measurement can reasonably be modeled as an independent random variable with mean d, the true (unknown) distance, and a variance of 4 light years squared (that is, the standard deviation is o = 2 light years). Using the Central Limit Theorem, determine the number of measurements n required in order to be approximately 95% sure that the estimated distance d is accurate to within ±0.5 light years of the true distance d.
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