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Paste any list of numbers — commas, spaces or one per line — and get the full statistical picture at once: mean, median, mode, minimum, maximum, range, sum, count and sample standard deviation. Having mean and median side by side is the quiet superpower: when they disagree sharply, your data has outliers and "the average" alone would have misled you.
Frequently asked questions
Mean, median or mode — which should I report?
Mean for symmetric data without outliers; median when extremes could distort (income, house prices, response times); mode for the most typical category. If mean and median diverge, lead with the median and say why.
What does standard deviation tell me?
How spread out the values are: small means clustered near the mean, large means scattered. In roughly normal data about 68% of values sit within one standard deviation of the mean.
Why "sample" standard deviation?
The n−1 divisor corrects for the fact that a sample underestimates its population's spread. It's the right default for measured data; for a complete population the n version runs slightly smaller.