Mean Median Mode Calculator

Enter your data set as comma- or space-separated numbers, and the Mean Median Mode Calculator computes all key central tendency measures at once — mean, median, mode, range, minimum, maximum, sum, and count. Paste data directly from a spreadsheet or type values manually to get a full statistical summary in seconds.

Enter numbers separated by commas, spaces, or new lines. You can paste directly from a spreadsheet.

Results

Mean (Average)

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Median

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Mode

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Range

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Minimum

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Maximum

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Sum

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Count

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Data Distribution (Frequency)

Results Table

Frequently Asked Questions

What is the difference between mean, median, and mode?

Mean, median, and mode are all measures of central tendency — they each describe a 'typical' value in a data set. The mean is the arithmetic average (sum divided by count). The median is the middle value when data is sorted. The mode is the value that appears most frequently. They can all differ, especially in skewed distributions or when outliers are present.

How do you calculate the mean?

To calculate the mean, add up all the numbers in your data set and divide by the total count of numbers. For example, for the set {4, 8, 6}, the mean is (4 + 8 + 6) / 3 = 6. This calculator does that automatically for any size data set.

How do you find the median?

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

What does 'mode' mean in statistics?

The mode is the value that appears most often in a data set. A data set can have no mode (all values unique), one mode (unimodal), or multiple modes (bimodal or multimodal). For example, in {3, 5, 5, 7, 9}, the mode is 5 because it appears twice.

Which measure of central tendency is best to use?

It depends on your data. The mean is best for normally distributed data without extreme outliers. The median is preferred when data is skewed or has outliers, since it is not affected by extreme values. The mode is most useful for categorical data or when you need the most common value.

Which central tendency measure is most affected by extreme values (outliers)?

The mean is most affected by outliers because it uses every value in its calculation. A single very large or very small number can shift the mean significantly. The median is resistant to outliers since it only depends on the middle value(s). The mode is generally unaffected by outliers.

What is the range and how is it calculated?

The range measures the spread of your data set. It is calculated by subtracting the minimum value from the maximum value. For example, if your data goes from 4 to 22, the range is 22 − 4 = 18. A larger range indicates more variability in the data.

Can a data set have more than one mode?

Yes. When two values appear the same number of times (and more than any other value), the data set is called bimodal. When three or more values share the highest frequency, it is multimodal. This calculator reports all modes when multiple values tie for the highest frequency.

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