SKEWNESS_S
Updated 2023-10-24 14:10:39.117000
Syntax
SELECT [westclintech].[wct].[SKEWNESS_S] (
<@Known_x, float,>)
Description
Use the aggregate function SKEWNESS_S to calculate the sample skewness. The SKEWNESS_S function is an implementation of the EXCEL SKEW function. The formula for SKEWNESS_S is:
G_1 = \frac{n}{(n-1)(n-2)}\frac{\mu_3}{(\frac{\mu_2}{(n-1)})^{3/2}}
Arguments
@Known_x
the values to be used in the calculation. @Known_x must be of a type float or of a type that implicitly converts to float.
Return Type
float
Remarks
If you want measure the skewness for a population, then use the SKEWNESS_P function.
To calculate the population kurtosis use the KURTOSIS_P function.
To calculate the sample kurtosis use the KURTOSIS_S function.
Examples
SELECT wct.SKEWNESS_S(x) as SKEWNESS_S
FROM
(
SELECT 30000.0000216303
UNION ALL
SELECT 30000.0000565854
UNION ALL
SELECT 30000.000038137
UNION ALL
SELECT 30000.0000495983
UNION ALL
SELECT 30000.0000185861
UNION ALL
SELECT 30000.0000863479
UNION ALL
SELECT 30000.0000776366
UNION ALL
SELECT 30000.0000637985
UNION ALL
SELECT 30000.0000939786
UNION ALL
SELECT 30000.000031191
UNION ALL
SELECT 30000.0000550457
UNION ALL
SELECT 30000.0000207558
UNION ALL
SELECT 30000.0000805531
UNION ALL
SELECT 30000.0000241287
) n(x);
This produces the following result
{"columns":[{"field":"SKEWNESS_S","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"SKEWNESS_S":"0.229491026413433"}]}
In this example, we generate 100 random numbers form the standard normal distribution using the SeiresFloat function and calculate the sample skewness.
SELECT wct.SKEWNESS_S(k.SeriesValue) as SKEWNESS_S
FROM wctMath.wct.SeriesFloat(0, 1, NULL, 100, 'N') k;
This produces the following result (your results will be different).
{"columns":[{"field":"SKEWNESS_S","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"SKEWNESS_S":"-0.153829198515644"}]}