Assertion: distribution's deviation | /r/HasProperty | \displaystyle \sigma
Facets:
Source sentences:
text: Some authors advocate using the precision τ {\displaystyle \tau } as the parameter defining the width of the distribution, instead of the deviation σ {\displaystyle \sigma } or the variance
text: \mu } and deviation σ {\displaystyle \sigma } , the cumulative distribution function is
text: \mu } and deviation σ {\displaystyle \sigma } , the moment generating function exists and is equal to
text: \mu } and deviation σ {\displaystyle \sigma } , and a {\displaystyle a} , b {\displaystyle b} are arbitrary real numbers, then the variable