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Standard Deviation Calculator
Standard Deviation Calculator is part of Toolspire and is ready as soon as this page loads. Sample divides by n − 1. Population divides by n. The headline is the sample figure, because a pasted list is usually a sample of something larger.
On this page
What you can do here
Sample is the headline
Most pasted marks are a sample. The n − 1 divisor is the number in large type.
Population sits beside it
If your list is the entire class, not a sample, use the population figure in the detail.
The mean is shown too
You can see the centre the gaps were measured from, without opening the average page.
The sequence
How to use the Standard Deviation Calculator
- 1
Paste every observation
Leave out blanks. A double comma does not insert a zero; only real number tokens count.
- 2
Pick the divisor your question names
If the question says “sample” or does not say the list is complete, use the headline. If it says “population” or “entire data”, use the detail.
- 3
Check 1, 2, 3
Sample standard deviation 1 is the easy confirmation that n − 1 was used.
Worth knowing
- Standard Deviation Calculator on Toolspire: both figures use the squared distance from the mean. They differ only in the divisor.
- The sample standard deviation divides by n − 1. The population figure divides by n.
- For 1, 2, 3 the sample standard deviation is 1 and the population figure is √(2/3), about 0.8165.
- Fewer than two numbers is rejected. A single observation has no sample spread.
Why the two divisors disagree
Dividing the sum of squared gaps by n understates the spread when those observations are a sample from a larger population. The n − 1 divisor, Bessel’s correction, is the usual fix, and it is what spreadsheets call STDEV.S. STDEV.P divides by n. This page prints both and names them, so a homework question that says “population” is not answered with the sample formula by accident.
FAQ
Questions about Standard Deviation Calculator
Where does Standard Deviation Calculator run?
Which standard deviation is the headline?
What is the standard deviation of 1, 2 and 3?
Why do I need two numbers?
Is this variance?
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