Note: If the count of items is one, a #DIV/0! error is displayed when using the StdDev summary function, because one is subtracted from the count when calculating the standard deviation. The standard deviations shown in the pivot table are the same as those that were calculated on the worksheet. To use the StdDevp summary function, when the Qty field is added to the pivot table, change the summary calculation to StdDevp. For the paper sales, the difference in quantity is much smaller, and the standard deviation is only 4.71. There is a large difference between the quantities of file folders sold, and the standard deviation is 44.5. Shown below is the pivot table source data, and the STDEV.P worksheet function is calculating the standard deviation for each product type. If a sample of the data is used, instead of the entire population, then use the StdDev summary function. The StdDevp summary function is used when the entire population is used in the calculation.
Like the variance, standard deviation is a measure of how widely the values vary from the average of the values. Like the STDEV.P and STDEV.S worksheet functions, the StdDev and StdDevp summary functions calculate the standard deviation for the underlying data in the Values area, and is the square root of the variance. In this article we’ll look at the StdDev and StdDevp summary functions. Previously, we’ve looked at the pivot table summary functions: Count, Average, Min and Max and Product.
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