The mean (average) is the sum of all values divided by the count. It's useful for symmetric distributions but can be skewed by outliers.

The median is the middle value when data is sorted. If there's an even count, it's the average of the two middle values. It's robust to outliers.

The mode is the most frequently occurring value. A dataset can have multiple modes (multimodal) or no mode if all values appear equally often.

When should I use mean vs median?

Use mean for symmetric data without outliers. Use median for skewed data or when outliers are present (e.g., income data where a few high earners skew the mean).

What if there's no mode?

If all values appear with equal frequency, there's no mode. Some define this as 'no mode' while others list all values as modes.

Mean Median Mode Calculator

Calculate measures of central tendency for any dataset.

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Sorted Data

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Most frequent

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Data Distribution

Mean ≈ Median: Data is approximately symmetric. Both measures are appropriate.

Documentation

Measures of Central Tendency

Central tendency describes the center of a data distribution. Mean, median, and mode each capture different aspects of this center.

Mean

Median

Range

Frequently Asked Questions

How to Use

About the Mean, Median, Mode

What it calculates

This mean, median, mode solves mathematical and statistical problems using standard formulas. Calculate central tendency, range, and distribution stats.

When to use it

Use for homework, data analysis, exam prep, or quick verification of manual calculations.

Example

Adjust the inputs above to model your specific scenario with the Mean, Median, Mode.

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Mean Median Mode Calculator

Enter Your Data

Sorted Data

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Data Distribution

Measures of Central Tendency

About the Mean, Median, Mode

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