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It is the lower case sigma, s, from the Greek alhphabet.

It is the lower case sigma, s, from the Greek alhphabet.

It is the lower case sigma, s, from the Greek alhphabet.

It is the lower case sigma, s, from the Greek alhphabet.

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12y ago

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Related Questions

Difference between standard error and sampling error?

Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.


What symbol is used to identify the standard error of M?

The standard error of the mean (M) is typically represented by the symbol "SEM." It quantifies the variability of sample means around the population mean, providing an estimate of how much the sample mean is expected to fluctuate from the true population mean. The SEM is calculated by dividing the standard deviation of the sample by the square root of the sample size (n).


What is the relationship of the standard error of the mean to the standard error of the difference?

It would help to know the standard error of the difference between what elements.


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Is accuracy or precision related to standard error?

Standard error is a measure of precision.


What is the symbol for standard deviation?

The symbol for standard deviation is sigma , σ.


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.


What is the symbol for euros?

The symbol for the Euro is: € The standard abbreviation is: EUR


The purpose and function of standard error of measurement?

the purpose and function of standard error of mean


What happens to the standard error of the mean if the sample size is decreased?

The standard error increases.


How does sample size affect the size of your standard error?

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.


What is the standard error of the sampling distribution equal to when you do not know the population standard deviation?

You calculate the standard error using the data.