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ssume that the sample is a simple random sample obtained from a normally distributed population of IQ scores of statistics professors. Use the table below to find the minimum sample size needed to be 99% Onfident that the sample standard deviation s is within 40% of σ. Is this sample size practical? To be 95% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of 6, the sample size n should be at least 19,205 768 192 48 21 12 8 To be 99% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of o, the sample size n should be at least 33,218 1,336 336 85 38 22 14 The minimum sample size needed is Is this sample size practical? OA. Yes, because the sample size is small enough to be practical for most applications OB. No, because the sample size should be as small as possible for most applications. OC. Yes, because the sample size should be as large as possible for most applications. OD. No, because the sample size is excessively large to be practical for most applications

ssume that the sample is a simple random sample obtained from a normally distributed population of IQ scores of statistics professors. Use the table below to find the minimum sample size needed to be 99% Onfident that the sample standard deviation s is within 40% of σ. Is this sample size practical? To be 95% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of 6, the sample size n should be at least 19,205 768 192 48 21 12 8 To be 99% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of o, the sample size n should be at least 33,218 1,336 336 85 38 22 14 The minimum sample size needed is Is this sample size practical? OA. Yes, because the sample size is small enough to be practical for most applications OB. No, because the sample size should be as small as possible for most applications. OC. Yes, because the sample size should be as large as possible for most applications. OD. No, because the sample size is excessively large to be practical for most applications

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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ssume that the sample is a simple random sample obtained from a normally distributed population of IQ scores of statistics professors. Use the table below to find the minimum sample size needed to be 99% Onfident that the sample standard deviation s is within 40% of σ. Is this sample size practical? To be 95% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of 6, the sample size n should be at least 19,205 768 192 48 21 12 8 To be 99% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of o, the sample size n should be at least 33,218 1,336 336 85 38 22 14 The minimum sample size needed is Is this sample size practical? OA. Yes, because the sample size is small enough to be practical for most applications OB. No, because the sample size should be as small as possible for most applications. OC. Yes, because the sample size should be as large as possible for most applications. OD. No, because the sample size is excessively large to be practical for most applications
Transcribed Image Text:ssume that the sample is a simple random sample obtained from a normally distributed population of IQ scores of statistics professors. Use the table below to find the minimum sample size needed to be 99% Onfident that the sample standard deviation s is within 40% of σ. Is this sample size practical? To be 95% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of 6, the sample size n should be at least 19,205 768 192 48 21 12 8 To be 99% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of o, the sample size n should be at least 33,218 1,336 336 85 38 22 14 The minimum sample size needed is Is this sample size practical? OA. Yes, because the sample size is small enough to be practical for most applications OB. No, because the sample size should be as small as possible for most applications. OC. Yes, because the sample size should be as large as possible for most applications. OD. No, because the sample size is excessively large to be practical for most applications
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