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Mean, Median, Mode, Range Calculator
Every measure of centre and spread from one dataset.
Commas, spaces, tabs and new lines all work as separators.
Sorted data
—
Full summary
| Statistic | Value | What it tells you |
|---|
Frequency
| Value | Count | Share |
|---|
Mean
—
Centre
Median—
Mode—
Midrange—
Spread
Range—
Standard deviation—
Interquartile range—
—
Outliers by the 1.5 × IQR rule
When the mean sits well away from the median, the data is skewed by extreme values — which is exactly why median income is the figure that gets reported rather than average income. Outliers are flagged by the standard convention and are worth investigating rather than automatically deleting.
Quick Tool Overview
The Mean, Median, Mode, Range Calculator takes a pasted dataset and returns every standard summary statistic at once — centre, spread, quartiles, outliers and skew — because the interesting information is usually in where these measures disagree.
- What it does
- Computes every descriptive statistic for a dataset
- You give it
- A list of numbers, comma, space or line separated
- You get back
- Mean, median, mode, range, quartiles and outliers
- Best for
- Homework, quick data checks and spreadsheet columns
About the Mean, Median, Mode, Range Calculator
Paste or type a list of numbers and get every standard summary statistic at once: mean, median, mode and range, plus quartiles, interquartile range, variance, standard deviation and the outliers the data contains.
Showing them together is deliberate, because the interesting information is usually in the disagreement. When the mean sits well above the median, the data is skewed by a few large values — which is exactly why average income is a misleading figure and median income is the one that gets reported. The tool flags skew, identifies outliers by the standard 1.5 × IQR rule, and sorts the data so you can see the shape rather than only the summary.
Key features of the Mean, Median, Mode, Range Calculator
Every measure at once
Mean, median, mode, range, variance, standard deviation, quartiles and IQR without switching tools.
Skew flagged
When the mean sits well away from the median, the tool says so — the reason median income is the figure that gets reported.
Outliers identified
Values beyond 1.5 × IQR from the quartiles are listed, using the standard convention.
Multimodal handled
Ties for the most frequent value are all reported, and a dataset with no mode is said to have none.
Paste straight from a spreadsheet
Line breaks, commas and spaces are all accepted as separators.
How to use the Mean, Median, Mode, Range Calculator
-
1
Enter your numbers
Separated by commas, spaces or new lines. Paste straight from a spreadsheet column.
-
2
Read the centre
Mean, median and mode, with a note when they disagree meaningfully.
-
3
Read the spread
Range, quartiles, interquartile range, variance and standard deviation.
-
4
Check for outliers
Values more than 1.5 interquartile ranges beyond the quartiles are listed.
Frequently asked questions
The mean is the total divided by the count; the median is the middle value when sorted. The median is unaffected by extreme values, which is why it is used for income and house prices.
If every value appears once, the dataset has no mode. If several values tie for the highest frequency, it is multimodal and all of them are reported.
The median splits the data in half; Q1 is the median of the lower half and Q3 the median of the upper half. The interquartile range is Q3 minus Q1.
The standard rule flags any value below Q1 − 1.5 × IQR or above Q3 + 1.5 × IQR. It is a convention rather than a law, and outliers are worth investigating rather than automatically deleting.
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