Assume 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 95% confident that the sample standard deviations is within 40% of o. Is this sample size practical? 6 To be 95% confident that s is within of the value of 6, the sample size In should be at least To be 99% confident that s is within of the value of 6, the sample size In should be at least The minimum sample size needed is Is this sample size practical? 1% 5% 10% 20% 30% 40% 50% 19,205 768 192 48 21 12 8 1% 5% 10% 20% 30% 40% 50% 33,218 1,336 336 85 38 22 14 O A. No, because the sample size should be as small as possible for most applications. O B. No, because the sample size is excessively large to be practical for most applications. OC. Yes, because the sample size should be as large as possible for most applications. O D. Yes, because the sample size is small enough to be practical for most applications.
Assume 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 95% confident that the sample standard deviations is within 40% of o. Is this sample size practical? 6 To be 95% confident that s is within of the value of 6, the sample size In should be at least To be 99% confident that s is within of the value of 6, the sample size In should be at least The minimum sample size needed is Is this sample size practical? 1% 5% 10% 20% 30% 40% 50% 19,205 768 192 48 21 12 8 1% 5% 10% 20% 30% 40% 50% 33,218 1,336 336 85 38 22 14 O A. No, because the sample size should be as small as possible for most applications. O B. No, because the sample size is excessively large to be practical for most applications. OC. Yes, because the sample size should be as large as possible for most applications. O D. Yes, because the sample size is small enough to be practical for most applications.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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
Transcribed Image Text:Assume 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 95% confident that the sample standard deviations is within 40% of o. Is this sample size practical?
To be 95% confident that s is
within
of the value of 6, the sample size
In should be at least
6
To be 99% confident that s is
within
of the value of 6, the sample size
In should be at least
The minimum sample size needed is
Is this sample size practical?
1% 5% 10% 20% 30% 40% 50%
19,205 768 192 48 21 12 8
1% 5% 10% 20% 30% 40% 50%
33,218 1,336 336 85 38 22 14
O A. No, because the sample size should be as small as possible for most applications.
O B. No, because the sample size is excessively large to be practical for most applications.
O C. Yes, because the sample size should be as large as possible for most applications.
O D. Yes, because the sample size is small enough to be practical for most applications.
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