One outlier can drag the mean
Add a single giant value (say, a billionaire’s income) and the mean leaps upward—even if every other number stays small.
Outlier power
Mean, Median, Mode Calculator — Find Range, Quartiles & IQR
Numbers & Actions
Results
Results will appear here after calculation.
Tip: Ctrl/Cmd + Enter runs Calculate.
Mean, Median, and Mode: A Friendly Guide to Your Data
When you have a list of numbers, it helps to reduce the noise and see the story behind the data. This mean, median, and mode calculator summarizes a dataset in seconds so you can understand its “typical” value and how spread out the numbers are. It is useful for students, teachers, analysts, and anyone who wants a quick statistical snapshot of scores, prices, measurements, or survey results without doing the arithmetic by hand.
What these statistics mean
The mean is the familiar average: add all values and divide by the count. Because every value contributes, a few very large or very small numbers can pull the mean up or down. The median is the middle value after sorting the list, so it is more stable when there are outliers. The mode is the most frequent value; some datasets have multiple modes, and others have none if every value appears only once. Together, these measures of central tendency show where the “center” of your data lies.
To understand spread, the calculator also shows the range (max minus min) and the quartiles. Quartiles split your ordered data into four equal parts, and the interquartile range (IQR) captures the middle 50%. The IQR is especially helpful when you want a robust sense of variability without being overly influenced by extreme values.
How to use the calculator
- Enter your numbers separated by commas, spaces, semicolons, or new lines.
- Choose how many decimal places you want to display.
- Click Calculate (or press Ctrl/Cmd + Enter) to see the results.
- Review mean, median, mode, range, quartiles, IQR, and min/max to interpret the dataset.
Real-world examples
Teachers compare class test scores, coaches summarize race times, and researchers review survey responses using these measures. In business, the median is often more representative than the average when a few large purchases skew revenue. In housing or salary data, the median gives a clearer “typical” value than the mean. If you are checking consistency in lab measurements or tracking daily temperatures, the range and IQR reveal how tightly the values cluster.
This tool also reports the total count and sum so you can quickly sanity-check your input. All calculations run locally in your browser, so your data stays private while you explore and interpret your results.
Frequently Asked Questions
Which separators can I use?
Commas, spaces, semicolons, or new lines. Extra whitespace is ignored.
How are quartiles and IQR computed?
We sort your numbers; Q1 is the median of the lower half, Q3 the median of the upper half, and IQR = Q3 − Q1.
What if there is no mode?
If every value appears once, there is no mode and we’ll say so.
Is my data private?
Yes—calculations run entirely in your browser.
5 Fun Facts about Mean, Median & Mode
Medians are traffic reporters
Highway speed signs often show the median speed, not the mean—because medians ignore a few reckless drivers or slow trucks.
Robust pick
Modes work on words
Mode isn’t just numeric: the most common baby name, T-shirt size, or hex color in a pixel array is a mode, too.
Beyond numbers
IQR defines “box plot” whiskers
Classic box plots flag outliers at 1.5×IQR beyond Q1 or Q3—the middle 50% is literally the box.
Visual stats
Simpson’s paradox flips stories
Combine groups and a mean or median trend can reverse direction—always check subgroups before trusting a headline.
Group caution