How to use SKEW.P Function in Excel

Returns the skewness of a distribution based on a population: a characterization of the degree of asymmetry of a distribution around its mean.

Syntax:= SKEW.P(number 1, [number 2],…)

The SKEW.P function syntax has the following arguments:

  • Number 1, number 2,…    Number 1 is required, subsequent numbers are optional. Number 1, number 2,… are 1 to 254 numbers or names, arrays, or reference that contain numbers for which you want the population skewness.

    SKEW.P uses the following equation:

Example: Let’s look at some Excel SKEW.P function examples and explore how to use the SKEW.P function as a worksheet function in Microsoft Excel:

Example of SKEW.P Function in Excel (Positively Skewed in Excel):

Column A has a distribution of values. Skewness these values can be calculated using formula

Syntax:  =SKEW.P(A2:A21)

Result: 0.457584052

as shown in the above example. This result in the value of 0.457584052. Which indicates positive skew.

Example of SKEW.P Function in Excel (Negatively Skewed in Excel):

Column A has a distribution of values. Skewness these values can be calculated using formula

Syntax:  =SKEW.P(A2:A21)

Result: -0.714243489

as shown in the above example. This result in the value of -0.714243489 which indicates negative skew.

Note:

  • Arguments can either be numbers or names, arrays, or references that contain numbers.
  • Logical values and text representations of numbers that you type directly into the list of arguments are counted.
  • If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero (0) are included,
  • SKEW.P uses the standard deviation of an entire population, not a sample.
  • If arguments are values that are not valid, SKEW.P returns the #NUM! error value.
  • If arguments use data types that are not valid, SKEW.P returns the #VALUE! error value.
  • If there are fewer than three data points, or the sample standard deviation is zero, SKEW.P returns the #DIV/0! Error value.

 

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