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sume 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% confident that the sample standard deviation s is within 1% of a. Is this sample size practical? Tlo be 95% confident that s is within of the value of e, the sample size 19 20s 768 192 48 21 128 n should be at least To be 99% confident that s is within of the value of e, the sample size a2181 336 336 85 38 22 14 h should be at least 1% 5% 10% 20% 30% 40% 50% 1% 5% 10% 20% 30% 40% 50% minimum sample size needed is his sample size practical? A. No, because the sample size is excessively large to be practical for most applications B. Yes, because the sample size should be as large as possible for most applications. C. No, because the sample size should be as small as possible for most applications D. Yes, because the sample size is small enough to be practical for most applications.

sume 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% confident that the sample standard deviation s is within 1% of a. Is this sample size practical? Tlo be 95% confident that s is within of the value of e, the sample size 19 20s 768 192 48 21 128 n should be at least To be 99% confident that s is within of the value of e, the sample size a2181 336 336 85 38 22 14 h should be at least 1% 5% 10% 20% 30% 40% 50% 1% 5% 10% 20% 30% 40% 50% minimum sample size needed is his sample size practical? A. No, because the sample size is excessively large to be practical for most applications B. Yes, because the sample size should be as large as possible for most applications. C. No, because the sample size should be as small as possible for most applications D. Yes, because the sample size is small enough to be practical for most applications.

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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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 99% confident that the sample standard deviation s is within 1% of o. Is this sample size practical? To be 95% confident that s is within of the value of 6, the sample size 19 205 768 192 48 n should be at least To be 99% confident that s is within of the value of 6, the sample size 33 218 1.336 336 85 38| 22 n should be at least 1% 5% 10% 20% 30% 40% 50% 21 12 8 1% 5% 10% 20% 30% 40% 50% 14 The minimum sample size needed is Is this sample size practical? O A. No, because the sample size is excessively large to be practical for most applications O B. Yes, because the sample size should be as large as possible for most applications. O C. No, because the sample size should be as small as possible for most applications. O D. Yes, because the sample size is small enough to be practical for most applications.
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 99% confident that the sample standard deviation s is within 1% of o. Is this sample size practical? To be 95% confident that s is within of the value of 6, the sample size 19 205 768 192 48 n should be at least To be 99% confident that s is within of the value of 6, the sample size 33 218 1.336 336 85 38| 22 n should be at least 1% 5% 10% 20% 30% 40% 50% 21 12 8 1% 5% 10% 20% 30% 40% 50% 14 The minimum sample size needed is Is this sample size practical? O A. No, because the sample size is excessively large to be practical for most applications O B. Yes, because the sample size should be as large as possible for most applications. O C. No, because the sample size should be as small 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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