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.
The standard deviation of the population. the standard deviation of the population.
Yes
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.
Sure it can. But in the survey business, the trick is to select your sample carefully so that they'll be equal, i.e. a sample that is accurately representative of the population.
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)]
You cannot from the information provided.
A single observation cannot have a 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.
The standard deviation of the population. the standard deviation of the population.
Yes
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.
Not a lot. After all, the sample sd is an estimate for the population sd.
the sample standard deviation
No, it is not.
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.
Milimetres and Centimetres.