Processing math: 100%

Coefficient of Skewness (SK) Calculator

Formula

The formula to calculate the Coefficient of Skewness (SK) is:

$SK = 3 \times \frac{M - MD}{s}$

Where:

$SK$ is the Coefficient of Skewness
$M$ is the Mean of the data set
$MD$ is the Median of the data set
$s$ is the Sample Size of the data set

What is the Coefficient of Skewness?

The coefficient of skewness is a method developed to find the relative skewness in a sample using the mean and median. Skewness itself is a measure of the shape of a data set. In other words, it is a measure of how close the mean and median are to each other relative to the sample size.

Example Calculation

Let's consider an example:

Mean (M): 50
Median (MD): 45
Sample Size (s): 10

Using the formula to calculate the Coefficient of Skewness:

$SK = 3 \times \frac{50 - 45}{10} = 3 \times 0.5 = 1.5$

This means that the coefficient of skewness for this scenario is 1.5.