Free Statistics Calculator for Mean, Median, Mode, Variance, Standard Deviation, Quartiles, and Outliers
Paste a dataset and get a compact descriptive-statistics report including center, spread, quartiles, sample/population variance, standard deviation, coefficient of variation, and IQR outlier fences.
Interactive calculator
How to use it
- Paste numeric observations into the dataset box.
- Choose whether your main SD display should be sample or population.
- Calculate and review center metrics first.
- Inspect quartiles, IQR, and outlier fences for distribution spread.
- Use sample statistics when your data represent a sample from a broader population.
What this calculator includes
Result checklist
0 / 5 complete
Local calculation history
Formula and reference table
| Statistic | Formula / definition | Notes |
|---|---|---|
| Mean | Σx / n | Sensitive to extreme values |
| Median | Middle ordered value | Robust center measure |
| Population variance | Σ(x−μ)² / n | Whole population |
| Sample variance | Σ(x−x̄)² / (n−1) | Bessel correction |
| IQR | Q3 − Q1 | Middle 50% spread |
Quick knowledge check
Why does sample variance usually divide by n−1?
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Frequently asked questions
What is the difference between sample and population standard deviation?
Population SD divides squared deviations by n, while sample SD uses n−1 to estimate population variability from a sample.
Can a dataset have more than one mode?
Yes. Multiple values can tie for the highest frequency.
How are outliers flagged?
This page uses the common 1.5×IQR fence rule, not a universal definition of an outlier.
Does this replace statistical software?
No. It provides descriptive summaries, not inferential tests, regression diagnostics, or distribution modeling.
Scope and accuracy
Statistics are calculated from the values you enter using browser floating-point arithmetic. Quartile conventions can differ between software packages, so verify the method when exact cross-tool agreement is required.