In Excel: use =STDEV.S(range) for a sample, or =STDEV.P(range) when your data is the whole population.
n = 6 · mean = 14.67
Variance = 17.067
What this does
Standard deviation measures how spread out your numbers are around their average — small means tightly clustered, large means widely scattered. It is in the same units as the data, so a standard deviation of 4 on test scores literally means "give or take about 4 points". STDEV.S divides by n−1 for a sample; STDEV.P divides by n when you have every member of the group. The same idea underpins a lot of everyday Excel work, so the few minutes spent getting it right here pay back across every sheet you build afterwards. Treat it as a pattern, not a one-off, and it stops being something you look up and starts being something you reach for. Treat “standard deviation chart excel” as a small repeatable workflow rather than a one-off click you hope to remember next time. Use a small test block before the live file, so any surprise in the affected chart shows up while it is still harmless. When a formula is involved, keep the inputs labelled beside it, reference cells instead of typing values, and apply number formatting only after the result checks out. That turns a visual that makes the number obvious at a glance into a method you can reuse, explain, and defend when the workbook leaves your screen.
A worked example
For the values 12, 15, 9, 21, 17, 14, the mean is 14.67 and =STDEV.S(A1:A6) returns about 4.13. So a typical value sits roughly 4 units either side of the average. Variance — the square of that — is about 17.07. Paste your own list into the tool above and both update instantly. Standard deviation is the workhorse of any risk, quality or performance analysis — investment volatility, process control, test-score spread. The mean tells you the centre; standard deviation tells you how much to trust it. One habit worth forming early: name the cells that hold your inputs, so the formula reads in plain language instead of a string of cell addresses. A reviewer — or you in three months — can then follow the logic without decoding what B7 and D2 were supposed to mean, which is most of what makes a sheet maintainable.
In Google Sheets
Google Sheets handles this almost identically to Excel. The formula syntax above is the same, and the menu lives under a slightly different label rather than a ribbon tab. Use the platform toggle at the top of the page to switch every keyboard shortcut between Windows and Mac, and expect at most cosmetic differences in naming. Keep this page bookmarked for the next time the same question comes up. Better still, rebuild the example once in your own sheet — doing it yourself, with the tool above to check against, is what turns a copied formula into a technique you own. If you take one thing from this page on “standard deviation chart excel”, make it the habit rather than the keystrokes: set the problem up with labelled inputs, reference those cells, and let Excel do the recomputing. Bookmark the page for the syntax, but do the example once in a blank sheet and check it against the tool above — five minutes of hands-on practice fixes the method in memory far better than re-reading, and it surfaces the small snags while they are still harmless. After that the technique is genuinely yours: faster than searching for it again, and reliable enough to drop into work that other people depend on.
Common mistakes
- Using STDEV.P on a sample (or STDEV.S on a full population), which biases the spread.
- Including text or blank cells in the range, which can skew or error the result.
- Comparing standard deviations of data measured in different units.
- Confusing standard deviation with the standard error of the mean — they answer different questions.
Frequently asked questions
STDEV.S or STDEV.P?
Use STDEV.S (sample, n−1) when your data is a sample drawn from a larger group — the usual case. Use STDEV.P (population, n) only when you have every single member.
What does a high standard deviation mean?
That values vary a lot around the mean — more risk or inconsistency. A low value means results are predictable and tightly grouped.
Is the old STDEV function still fine?
STDEV is the legacy name for STDEV.S and still works for backward compatibility, but new sheets should prefer the explicit STDEV.S / STDEV.P.