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Pearson's Coefficient of Skewness

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Pearson's Coefficient of Skewness

As explained here: https://www.statisticshowto.datasciencecentral.com/find-pearsons-coefficient-skewness-excel/

 

Pearson’s coefficient of skewness is a method developed by Karl Pearson to find skewness in a sample using descriptive statistics like the mean and mode. Skewness is one measure of the shape of a set of data. There isn’t an Excel function to find Pearson’s coefficient of skewness. In the descriptive statistics area of the Data Analysis Toolpak, skewness is calculated by using the third power of deviations around the mean. This is different from Pearson’s coefficient of skewness, which uses either the mode or the mean. There is a workaround that you can use by combining some basic Excel functions.

 

Pearson’s coefficient of skewness (second method) is calculated by multiplying the difference between the mean and median, multiplied by three. The result is divided by the standard deviation. You can use the Excel functions AVERAGE, MEDIAN and STDEV.P to get a value for this measure.

 

skewness.png

 

In Power BI, this is implemented by the following formula:

 

 

Skewness = 
VAR __numerator = 3 * (AVERAGE(Table1[Column1]) - MEDIAN(Table1[Column1]))
VAR __denominator = STDEV.P(Table1[Column1])
RETURN
DIVIDE(__numerator,__denominator,0)

 


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