From what ive gathered standard error is how relative to the population some data is, such as how relative an answer is to men or to women. The lower the standard error the more meaningful to the population the data is. Standard deviation is how different sets of data vary between each other, sort of like the mean. * * * * * Not true! Standard deviation is a property of the whole population or distribution. Standard error applies to a sample taken from the population and is an estimate for the standard deviation.
σ (sigma)
400
Information is not sufficient to find mean deviation and standard deviation.
Standard deviation is the square root of the variance.
A lower case s is the symbol.
σ sigma
The symbol for standard deviation is sigma , σ.
The standard deviation of the population. the standard deviation of the population.
No.
Yes
The standard deviation if the data is a sample from a population is 7.7115; if it is the population the standard deviation is 7.0396.
the sample standard deviation
Sigma
Yes.
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)]
It can be.