# iterstdev > Compute the [corrected sample standard deviation][sample-stdev] over all [iterated][mdn-iterator-protocol] values.
The [corrected sample standard deviation][sample-stdev] is defined as
Equation for the corrected sample standard deviation.
## Usage ```javascript var iterstdev = require( '@stdlib/stats/iter/stdev' ); ``` #### iterstdev( iterator\[, mean] ) Computes the [corrected sample standard deviation][sample-stdev] over all [iterated][mdn-iterator-protocol] values. ```javascript var array2iterator = require( '@stdlib/array/to-iterator' ); var arr = array2iterator( [ 2.0, 1.0, 3.0 ] ); var s = iterstdev( arr ); // returns 1.0 ``` If the mean is already known, provide a `mean` argument. ```javascript var array2iterator = require( '@stdlib/array/to-iterator' ); var arr = array2iterator( [ 2.0, 1.0, 3.0 ] ); var s = iterstdev( arr, 2.0 ); // returns ~0.82 ```
## Notes - If an iterated value is non-numeric (including `NaN`), the returned [`iterator`][mdn-iterator-protocol] returns `NaN`. If non-numeric iterated values are possible, you are advised to provide an [`iterator`][mdn-iterator-protocol] which type checks and handles non-numeric values accordingly.
## Examples ```javascript var runif = require( '@stdlib/random/iter/uniform' ); var iterstdev = require( '@stdlib/stats/iter/stdev' ); // Create an iterator for generating uniformly distributed pseudorandom numbers: var rand = runif( -10.0, 10.0, { 'seed': 1234, 'iter': 100 }); // Compute the corrected sample standard deviation: var s = iterstdev( rand ); // returns console.log( 'stdev: %d.', s ); ```