A single observation cannot have a sample 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)]
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 sample standard deviation
Not a lot. After all, the sample sd is an estimate for the population sd.
A single observation cannot have a sample standard deviation.
The standard deviation of the population. the standard deviation of the population.
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)]
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 sample standard deviation
Standard deviation in statistics refers to how much deviation there is from the average or mean value. Sample deviation refers to the data that was collected from a smaller pool than the population.
Not a lot. After all, the sample sd is an estimate for the population sd.
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.
The standard error is the standard deviation divided by the square root of the sample size.
No, it is not.
You're an idiot. It's standard deviation. Google that for your answer.