Research Tools

Skewness Calculator

Skewness Calculator

Skewness Calculator
Measure the direction and degree of asymmetry in a dataset with sample, population, Pearson, and quartile-based methods.
Enter your data
Separate values with commas, spaces, semicolons, tabs, or new lines. Decimals and negative values are supported.
4
8
Result
Skewness
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Adjusted Fisher–Pearson coefficient
Waiting for data
n
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Mean
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Median
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Std. deviation
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Minimum
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Maximum
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Enter at least three varying numeric values to estimate sample skewness.
A report-ready result will appear here.
Distribution view
The histogram is generated locally from your values. No data is uploaded.

Bars update as you type.

How this is calculated
Enter valid values to see the formula with your numbers substituted.

For Fisher–Pearson calculations, m₂ and m₃ use central moments with n in the denominator. The adjusted sample coefficient applies the small-sample correction √[n(n−1)]/(n−2). Pearson’s second coefficient uses the sample standard deviation. Bowley/Galton skewness uses linearly interpolated Q1, median, and Q3.

This Skewness Calculator helps researchers, students, and data analysts quickly measure whether a dataset is approximately symmetric or has a longer left or right tail. Paste raw numerical data to calculate the adjusted sample skewness, Fisher–Pearson moment skewness, Pearson’s second coefficient, or Bowley/Galton quartile skewness, while also reviewing the mean, median, standard deviation, range, interpretation, and an automatically generated histogram. Because the calculations run entirely in your browser, the tool is fast, private, and useful for exploratory data analysis, descriptive statistics, research reports, and checking distribution shape before selecting statistical methods.

About the author

Muhammad Hassan

Muhammad Hassan writes about research design, academic methods and data-analysis concepts for ResearchMethod.net. His work focuses on presenting methodological topics in clear language for students and early-career researchers. Articles are developed from recognized methodological literature and official software documentation.