User Rating 0.0
Total Usage 1 times
Is this tool helpful?

Your feedback helps us improve.

About

In skewed distributions (like income or housing prices), the mean (average) is deceptive because it is pulled by extreme values. The median - the middle value when data is sorted - offers a robust measure of central tendency that resists outliers.

This tool sorts arrays of up to 1,000,000 elements efficiently. It distinguishes the median from the mode (most frequent) and mean, providing a complete statistical snapshot. The integrated visualization maps your data onto a number line, allowing for immediate visual identification of clustering and dispersion.

median statistics central tendency outliers data distribution

Formulas

To find the median, the dataset X is first sorted in ascending order.

{
X(n+1)/2 if n is oddXn/2 + X(n/2)+12 if n is even

Reference Data

Dataset TypePreferred MeasureReason
Normal DistributionMeanUtilizes all data points mathematically.
Skewed (Income/Home Prices)MedianIgnores extremes (billionaires don't skew the result).
Categorical (e.g., Colors)ModeOnly feasible measure for non-numeric data.
Life ExpectancyMedianReduced impact of infant mortality rates.
Sensor Data (Noisy)MedianFunctions as a low-pass filter for single-point spikes.

Frequently Asked Questions

The average (mean) adds all numbers and divides by the count. If you have 10 people earning $50k and one earning $100M, the average is misleadingly high. The median would remain $50k, accurately reflecting the "typical" person.
We utilize the browser's native Quicksort implementation (Time complexity O(n log n)), which is optimized for numeric arrays, allowing for near-instant processing of up to 1 million data points.