📊 Statistics Calculator — Mean, Median, Mode, SD, Variance & Quartiles
Math & Statistics Calculators · Descriptive Statistics

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.

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Interactive calculator

Mean
Median
Std. deviation
Paste numeric data.

    How to use it

    1. Paste numeric observations into the dataset box.
    2. Choose whether your main SD display should be sample or population.
    3. Calculate and review center metrics first.
    4. Inspect quartiles, IQR, and outlier fences for distribution spread.
    5. Use sample statistics when your data represent a sample from a broader population.

    What this calculator includes

    1. MeanArithmetic average.
    2. Median50th percentile using sorted data.
    3. ModeMost frequent value or values.
    4. RangeMaximum minus minimum.
    5. QuartilesQ1, Q2, and Q3.
    6. IQRMiddle-50% spread.
    7. Population varianceDivide squared deviations by n.
    8. Sample varianceDivide squared deviations by n−1.
    9. Standard deviationSquare root of variance.
    10. Coefficient of variationSD relative to mean.
    11. Outlier fences1.5×IQR lower and upper fences.
    12. Data cleanupParse comma, space, semicolon, or line-separated values.

    Result checklist

    0 / 5 complete

    Local calculation history

    Formula and reference table

    StatisticFormula / definitionNotes
    MeanΣx / nSensitive to extreme values
    MedianMiddle ordered valueRobust center measure
    Population varianceΣ(x−μ)² / nWhole population
    Sample varianceΣ(x−x̄)² / (n−1)Bessel correction
    IQRQ3 − Q1Middle 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.