Mean (Average): Sum of all values divided by count. Most commonly used, but sensitive to outliers.
Median: The middle value when data is sorted. Not affected by outliers. Better for skewed distributions.
Mode: The most frequent value(s). A dataset can have multiple modes (multimodal).
Range: The difference between maximum and minimum values.
Use mean for symmetric data without outliers (e.g., test scores). Use median for skewed data or data with outliers (e.g., income data β median income better represents typical income than average).
Mode works well for categorical and discrete data: most common test score, most popular product size, most used browser, etc. It's the only central tendency measure for non-numeric data.
Theoretically unlimited, but browser performance may slow with very large datasets. Recommend β€100,000 numbers. Results shown to 4 decimal places.
When mean β median β mode, data is roughly symmetric. Mean > median > mode: right-skewed. Mean < median < mode: left-skewed. This tool shows all three for easy comparison.
Yes. Negative numbers, decimals, and integers are all fully supported.
Yes. After loading, all calculations work offline since everything runs in your browser.