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Mean Median Mode Range Calculator

Find the mean, median, mode, and range of a dataset. Enter up to 10 values for a complete central tendency analysis.

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About This Calculator

Mean, median, mode, and range are the four foundational measures of central tendency and spread that describe any numerical dataset. This calculator computes all four simultaneously, helping you understand not just the average but also the middle value, most frequent value, and total spread of your data. Using these measures together provides a far more complete statistical picture than relying on any single metric.

Quick Tips

  • 1 Use median for skewed data like income — mean gets pulled by extremes.
  • 2 A dataset can have multiple modes or no mode at all.
  • 3 Range only uses two values so one outlier can make it misleading.

Example Calculation

Scenario

Daily sales: 12, 15, 18, 15, 22, 15, 28, 19, 14, 32.

Result

Mean: 19.0 | Median: 16.5 | Mode: 15 (3 times) | Range: 20 | Min: 12 | Max: 32

Understanding Mean, Median, Mode, and Range

These four measures describe a dataset. The mean is the arithmetic average. The median is the middle value when sorted. The mode is the most frequently occurring value. The range is the difference between the highest and lowest values. Together, they give a comprehensive summary of your data.

When to Use Each Measure

Use the mean for symmetrical data without outliers. Use the median when data is skewed or has outliers (like income data). The mode is useful for categorical data or finding the most common value. The range provides a quick sense of data spread but is sensitive to extreme values.

How to Find the Median

Sort all values from smallest to largest. If the count is odd, the median is the middle number. If even, the median is the average of the two middle numbers. For example, in {3, 5, 7, 9, 11}, the median is 7. In {3, 5, 7, 9}, the median is (5 + 7) / 2 = 6.

Multimodal Datasets

A dataset can have one mode (unimodal), two modes (bimodal), or more (multimodal). If no value repeats, there is no mode. Bimodal distributions often suggest two distinct groups in the data, which may warrant further investigation.

Frequently Asked Questions