STDEVA()

Syntax. STDEVA(value1,value2,...)

Definition. This function estimates the standard deviation based on a sample. The standard deviation is a measure of how widely values are dispersed from the average value (the mean). The STDEVA function includes text and logical values (TRUE and FALSE).

Arguments

Note

The STDEVA() function assumes that its arguments are a sample from the entire population. If your data represents a population, calculate the standard deviation with STDEVPA().

Unlike STDEV.S(), the STDEVA() function includes text and logical values. Arguments that contain TRUE evaluate to 1, and arguments that contain text or FALSE evaluate to 0. If you do not want to include logical values and text in the calculation, use the STDEV.S() function.

The calculated standard deviation is an estimate of the standard deviation of the sample from a population. This means that it is divided by n–1 instead of by n.

Background. Because the only difference between STDEVA() and STDEV.S() is that STDEVA() includes text and logical values, this example focuses on STDEVA().

See Also

You will find more information about standard deviations in the description of STDEV.S().

STDEVA() uses the same formula as STDEV.S().

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The value x is the sample mean AVERAGE(value1,value2,...), and n is the sample data set.

Example. Let’s look again at the evaluation of the website visits. Because in the past 18 months several website problems occurred, the visits could not be counted in all months. The company had the following problems:

As you can see in Figure 12-135, the STDEVA() function returns a different result than STDEV.S(). This happens because STDEVA() includes text and logical values. The text values and the logical value FALSE were set to 0, and the logical value TRUE was set to 1.

Because text and logical values are included, the STDEVA() function returns a different result than the STDEV.S() function.

Figure 12-135. Because text and logical values are included, the STDEVA() function returns a different result than the STDEV.S() function.

If you take a closer look at the PRODUCTS area, you can make the following statement: The result of 3,810.32 indicates the variance around the mean. This means that the clicks are higher or lower by 3,810.32 than the mean.

See Also

DSTDEV(), DSTDEVP(), STDEV.P(), STDEV.S(), STDEVPA()