Interpreatation of Coefficient of Skewness
We can interpret the coefficient using it’s sign and refer to the following table:
Coefficient of Skewness | Description | Interpretation |
---|---|---|
Positive | The coefficient is positive. | The data distribution is skewed to the right, indicating a longer tail on the right side. |
Negative | The coefficient is negative. | The data distribution is skewed to the left, indicating a longer tail on the left side. |
Zero | The coefficient is zero. | The data distribution is symmetric. |
Coefficient of Skewness
Coefficient of Skewness is a statistical measure that indicates the asymmetry of data around its mean, revealing whether the data is skewed to the left, right, or is symmetrical.
By identifying the direction and degree of skewness, researchers can gain insights into the underlying patterns and characteristics of the data. In this article, we will discuss all the Coefficient of Skewness i.e., Pearson’s Coefficient, Bowley’s Coefficient, and Kelly’s Coefficient.
Table of Content
- What is Skewness?
- Types of Skewness
- What is Coefficient of Skewness?
- Pearson’s First Coefficient of Skewness
- Pearson’s Second Coefficient of Skewness
- Bowley’s Coefficient of Skewness
- Kelly’s Coefficient of Skewness
- Interpreatation of Coefficient of Skewness
- FAQs
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