Dispersion quantifies how far individual observations deviate from a central tendency, typically the mean. Understanding the spread of data is essential for assessing variability, risk, and reliability in any statistical analysis.
The two most widely used measures of dispersion are variance and standard deviation. Variance captures the average squared deviation, while standard deviation provides a measure in the original units of the data, making interpretation more intuitive.
What is the difference between variance and standard deviation?
How do I interpret a high variance value?
When should I use standard deviation instead of variance?
Can this calculator handle large datasets?
What does a low standard deviation signify?
Results are for informational purposes only and do not constitute professional advice.
