Statistics Calculator
Mean, median, mode, standard deviation, quartiles, and outliers from any list of numbers.
Outliers (1.5 × IQR method)
About this tool
A full descriptive statistics calculator
Paste in any list of numbers — test scores, measurements, survey ratings, sales figures — and this calculator instantly works out the full set of standard descriptive statistics: count, sum, mean, median, mode, range, population and sample variance, population and sample standard deviation, quartiles, interquartile range, outliers, standard error of the mean, and coefficient of variation.
How to use the statistics calculator
- Paste or type your numbers into the box — commas, spaces, and new lines are all treated as separators, so you can paste straight from a spreadsheet column or a comma-separated list.
- Results update as soon as you calculate — every stat is shown as its own labeled card.
- Check the outliers panel to see which values fall outside 1.5× the interquartile range, the standard statistical rule of thumb for flagging unusual data points.
- Use "Copy Results" to grab every statistic as plain text for a report, spreadsheet, or homework writeup.
Population vs. sample statistics
This calculator reports both population and sample variance/standard deviation side by side, because which one you need depends on your data: use population statistics when your numbers represent an entire group (every student in a class), and sample statistics when your numbers are a sample drawn from a larger population you're trying to estimate (a subset of customers, a poll sample).
Frequently asked questions
What's the difference between population and sample standard deviation?
Sample standard deviation divides by (n − 1) instead of n, a correction (Bessel's correction) that makes it a better, unbiased estimate of the true population standard deviation when you're working from a sample rather than complete data.
How are outliers detected?
This tool uses the standard 1.5 × IQR rule: any value below Q1 − 1.5×IQR or above Q3 + 1.5×IQR is flagged as an outlier, the same method used in most box-plot software and statistics textbooks.
What if my data has more than one mode?
The calculator reports every value tied for the highest frequency, so you'll see all modes listed if your data set is multimodal — or "No mode" if every value appears exactly once.
How are quartiles calculated?
Q1 and Q3 are found using the median-of-halves method: the data is split at the median, and Q1/Q3 are the medians of the lower and upper halves respectively — a widely used, straightforward quartile method.
Can I paste numbers with decimals or negative values?
Yes — decimals, negative numbers, and scientific notation values are all parsed correctly; any text that can't be read as a number is skipped and you'll see a note showing how many values were ignored.
