Can someone answer this one please? 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 20% of sigmaσ. Is this sample size practical? sigmaσ To be 95% confident that s is within 1% 5% 10% 20% 30% 40% 50% of the value of sigmaσ, 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 sigmaσ, 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? A.No, because the sample size should be as small as possible for most applications. B.No, because the sample size is excessively large to be practical for most applications.the sample size is excessively large to be practical for most applications. C.Yes, because the sample size is small enough to be practical for most applications.the sample size is small enough to be practical for most applications. D.Yes, because the sample size should be as large as possible for most applications.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Can someone answer this one please?
Assume that the sample is a simple random sample obtained from a
Is this sample size practical?
|
sigmaσ |
To be 95% confident that s is within |
1% |
5% |
10% |
20% |
30% |
40% |
50% |
|
of the value of sigmaσ, 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 sigmaσ, 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?
A.No, because the sample size should be as small as possible for most applications.
B.No, because the sample size is excessively large to be practical for most applications.the sample size is excessively large to be practical for most applications.
C.Yes, because the sample size is small enough to be practical for most applications.the sample size is small enough to be practical for most applications.
D.Yes, because the sample size should be as large as possible for most applications.
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