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yes
There is no such thing. The standard error can be calculated for a sample of any size greater than 1.
2
no
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0.0016
A small sample size and a large sample variance.
The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.
It is 6.1, approx.
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.
The standard error of the underlying distribution, the method of selecting the sample from which the mean is derived, the size of the sample.
I dont really konw im doing this for the pnits srry
The standard error increases.
The standard error is the standard deviation divided by the square root of the sample size.
yes
Standard error (which is the standard deviation of the distribution of sample means), defined as σ/√n, n being the sample size, decreases as the sample size n increases. And vice-versa, as the sample size gets smaller, standard error goes up. The law of large numbers applies here, the larger the sample is, the better it will reflect that particular population.