Mean Median Mode Calculator
Use this free online mean, median, and mode calculator to analyze any dataset in one step. Enter your numbers to find all three measures of central tendency instantly.
Mean, Median and Mode
Add numbers to find central tendency measures
Add at least one number to see results.
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Formula
The mean is the arithmetic average. The median is the middle value when sorted. The mode is the most frequently occurring value.
Worked Example
Understanding Mean, Median, and Mode
- Mean: The arithmetic average, best for symmetric data without outliers
- Median: The middle value when sorted, resistant to outliers and best for skewed data
- Mode: The most frequently occurring value, useful for categorical data and identifying common values
- A dataset can have no mode (all unique), one mode (unimodal), or multiple modes (bimodal, multimodal)
These three measures together give a complete picture of where data is centered. In a perfectly symmetric distribution, all three are equal. When they differ, the data is likely skewed, and the median is typically the most representative measure.
You can also calculate changes using our Average Calculator or Standard Deviation Calculator.
Frequently Asked Questions
What if there is no mode?
If all values appear the same number of times, the dataset has no mode (or all values are modes). For example, the set {1, 2, 3, 4, 5} has no mode because no value repeats.
How do I find the median with an even number of values?
Sort the data and take the average of the two middle values. For example, in {2, 4, 6, 8}, the median is (4+6)/2 = 5.
Which measure is best?
Mean for symmetric data without outliers. Median for skewed data or data with outliers (like income). Mode for categorical data (like favorite color) or finding the most common value.
Can a dataset have more than one mode?
Yes. A dataset with two modes is called bimodal (e.g., {1,1,2,3,3}). A dataset with three or more modes is multimodal. This often indicates the data has multiple distinct groups.
Why do mean and median differ?
They differ when data is skewed. In right-skewed data (a few large outliers), the mean is pulled higher than the median. In left-skewed data, the mean is pulled lower. The bigger the difference, the more skewed the data.
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