Standard Deviation (Stddev)

Standard deviation
Standard deviation is often used to compare real-world data against a model to test the model. For example, in industrial applications the weight of products coming off a production line may need to comply with a legally required value.

STDEV function - Office Support
The standard deviation is a measure of how widely values are dispersed from the average value (the mean). Important: This function has been replaced with one or more new functions that may provide improved accuracy and whose names better reflect their usage.

STDDEV - Oracle
STDDEV returns the sample standard deviation of expr, a set of numbers. You can use it as both an aggregate and analytic function. You can use it as both an aggregate and analytic function. It differs from STDDEV_SAMP in that STDDEV returns zero when it has only 1 row of input data, whereas STDDEV_SAMP returns null.

How to use the Excel STDEV function | Exceljet
The STDEV function calculates the standard deviation for a sample set of data. Standard deviation measures how much variance there is in a set of numbers compared to the average (mean) of the numbers. The STDEV function is meant to estimate standard deviation in a sample. If data represents an entire population, use the STDEVP function.

Standard Deviation | R Tutorial
Standard Deviation. The standard deviation of an observation variable is the square root of its variance. Find the standard deviation of the eruption duration in the data set faithful.

Standard Deviation and Variance - mathsisfun.com
Standard Deviation and Variance. Deviation just means how far from the normal. Standard Deviation. The Standard Deviation is a measure of how spread out numbers are. Its symbol is σ (the greek letter sigma) The formula is easy: it is the square root of the Variance. So now you ask, "What is the Variance?" Variance. The Variance is defined as:

Standard Deviation Calculator
The population standard deviation, the standard definition of σ, is used when an entire population can be measured, and is the square root of the variance of a given data set. In cases where every member of a population can be sampled, the following equation can be used to find the standard deviation of the entire population: