Skewness
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What is Skewness?
Skewness is a measure of the asymmetry of a distribution. A distribution is asymmetrical when its left and right side are not mirror images. A distribution can have right (or positive), left (or negative), or zero skewness, where the tails are roughly equal. A right-skewed distribution is longer on the right side of its peak, and a left-skewed distribution is longer on the left side of its peak. This measure helps understand data structure, the presence of outliers, and its suitability for statistical analyses.
Free resources to learn Skewness
- ArticleSkewness
- ArticleSkewness | Definition, Examples & Formula
More in stage 14: Regression Analysis
Skewness: common questions
Can I learn Skewness in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Skewness in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Skewness tutorial for beginners?
It is lesson 43 of 200 in the free BI Analyst roadmap, in stage 14, Regression Analysis. If you are new to BI Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.