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There is no such thing. The standard error can be calculated for a sample of any size greater than 1.

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โˆ™ 2014-04-21 13:49:02
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A polynomial of degree zero is a constant term

The grouping method of factoring can still be used when only some of the terms share a common factor A True B False

The sum or difference of p and q is the of the x-term in the trinomial

A number a power of a variable or a product of the two is a monomial while a polynomial is the of monomials

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Q: What is the sample size for standard deviation?
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Related questions

Does the distribution of sample means have a standard deviation that increases with the sample size?

No, it is not.

How do i find sample standard deviation from population standard deviation?

If the population standard deviation is sigma, then the estimate for the sample standard error for a sample of size n, is s = sigma*sqrt[n/(n-1)]

Where the standard deviation is not applicable?

When the sample size is small

How does one calculate the standard error of the sample mean?

Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.

Why is standard deviation of a statistic called standard error?

The standard error is the standard deviation divided by the square root of the sample size.

Is sample size going to be equal to standard deviation?


If standard deviation 20 and sample size is 100 then standard error of mean is?


As the sample size increases the standard deviation of the sampling distribution increases?


What is the sample standard deviation of 27.5?

A single observation cannot have a sample standard deviation.

Is The standard deviation of all possible sample proportions increases as the sample size increases?

The standard deviation would generally decrease because the large the sample size is, the more we know about the population, so we can be more exact in our measurements.

What is not dependent on the size of a sample?

In general the mean of a truly random sample is not dependent on the size of a sample. By inference, then, so is the variance and the standard deviation.

What does the sample standard deviation best estimate?

The standard deviation of the population. the standard deviation of the population.

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