Average Calculator
Paste numbers separated by commas, spaces or new lines to instantly see mean, median, mode, range and standard deviation.
What is the Average Calculator?
The Average Calculator takes a list of numbers — separated by commas, spaces or new lines — and returns the mean, median, mode, range, sum, count, minimum, maximum and population standard deviation. It is the fastest way to summarise a small dataset without opening a spreadsheet.
These statistics describe different aspects of the same list. Mean shows the arithmetic centre, median is resistant to a few extreme values, mode reveals repeated values, and range and standard deviation indicate spread. Displaying them together helps you notice when one average could be misleading.
Non-numeric tokens are skipped gracefully, so you can paste messy data straight from a document or spreadsheet. The calculation is performed locally and updates when the detected list changes; review the value count to make sure no intended number was omitted.
How to use the Average Calculator
- 1Paste or type your numbers into the text area, separated by commas, spaces or new lines.
- 2Check the detected-value count below the box.
- 3Read the stat cards — they recalculate live as you edit.
When to use the Average Calculator
- Summarise test scores with mean, median, range and the most common score.
- Compare the consistency of delivery times, measurements or repeated experiment readings.
- Check a small exported spreadsheet column without building formulas in a workbook.
- Find the total, count, minimum and maximum of pasted expenses or daily figures.
Key features
- Mean, median, mode and range
- Sum, count, min and max
- Population standard deviation
- Accepts mixed separators and ignores invalid tokens
Frequently asked questions
What is the difference between mean, median and mode?
Mean is the arithmetic average, median is the middle value when sorted, mode is the most frequent value.
Which standard deviation is used?
Population standard deviation (divide by N). For sample stddev, multiply by √(N/(N−1)).
What happens when more than one value is most frequent?
A dataset can have multiple modes. Check the displayed mode result and the original frequency pattern rather than assuming every list has one unique mode.
How are invalid entries handled?
Tokens that cannot be parsed as numbers are ignored. Compare the detected count with your expected count, especially after pasting labels or formatted data.
All Utility
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