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Statistics Calculator

Mean, median, mode, stdev from a list.

beats calculator.net edge: 9 stats at once + mode detection
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Guide

About Statistics Calculator

Paste numbers (one per line or comma-separated) and get mean, median, mode, range, variance, standard deviation, min, max, sum, and count — all at once. Useful for quick data summaries, homework, A/B test result auditing, and stats teaching.

What you get

StatWhat it tells you
MeanAverage; sensitive to outliers
MedianMiddle value; robust to outliers
ModeMost-frequent value (or values)
RangeMax minus min; quick spread sense
VarianceAverage squared deviation
Std deviationSquare root of variance; same units as data
Min / MaxExtremes
SumTotal
CountNumber of values
Q1 / Q3 / IQRQuartiles for outlier detection

Common workflows

A/B test sanity check. Drop in conversion rates per day, see mean and stdev. Compare across cohorts; use stdev as the noise floor.

Performance audit. Drop in latency samples (p50, p95, p99 are useful — but mean and stdev tell you about consistency).

Estimating effort. A team’s task durations — mean for forecast, stdev for confidence interval, range for worst-case planning.

Homework / teaching. All stats at once is faster than computing each manually.

Frequently asked questions

Sample or population stdev?
Default sample (n-1 denominator) — what most A/B and survey contexts want. Toggle to population (n denominator) if your data is the entire population.
Mode with ties?
All values that share the highest count are reported. If every value is unique, the report says "no mode".
Maximum dataset size?
Up to 100,000 numbers. Above that, prefer a real stats tool.
Decimals or integers?
Either. We parse comma-separated and line-separated inputs; decimal points and scientific notation work.
Outlier detection?
Not built-in. The IQR method (Q1 - 1.5 × IQR, Q3 + 1.5 × IQR) is a common rule; we report Q1, Q3, IQR — apply the rule by hand or in your code.
Histogram?
A coarse 10-bin histogram appears below the stats. For visualization at scale, drop the data into Datawrapper or Plot.ly.

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Last updated: 2025-01-15