Demystifying Skewness: A Deep Dive into Asymmetry in Data Distribution

Nilimesh Halder, PhD
9 min readFeb 1, 2024

Article Outline

1. Introduction to Skewness
- Definition and basic concept of skewness.
- Overview of its importance in data analysis.

2. Understanding Skewness in Statistical Terms
- Detailed explanation of skewness, including positive skewness (right-skewed) and negative skewness (left-skewed).
- How skewness is measured.

3. Calculating Skewness
- Formulae for calculating skewness (sample skewness, population skewness).
- Step-by-step guide and examples.

4. Implications of Skewness in Data Analysis
- Impact of skewness on statistical analysis.
- How skewness affects mean, median, and mode.

5. Skewness in Different Fields: Practical Applications
- Real-world applications in finance, economics, social sciences, and other fields.
- Case studies or examples illustrating skewness in practice.

6. Correcting Skewness: Transformations and Techniques
- Methods for correcting skewness in data (log transformation, square root transformation…

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