Calculate statistical measures including mean (average), median, mode, and range for any data set.
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Embed this mean, median, mode calculator on your website for free. It's responsive, always up-to-date, and easy to customize.
Paste or type your dataset (comma, space, or newline separated). Optionally provide weights.
Choose decimals, enable outlier exclusion (Tukey), and specify trimmed mean percentage per tail.
See mean, median, mode, extended means, quartiles (Type‑7), IQR, skewness, and outliers.
Use the summary and educational tips below to guide your conclusions.
Distribution is roughly symmetric with limited outlier influence.
Right-skewed distribution; high-end values pull the mean upward.
Left-skewed distribution; low-end values pull the mean downward.
Substantial spread and possible anomalies; consider robust measures (median, trimmed mean).
Paste a dataset to get mean, median (Type-7), mode, quartiles, IQR, Tukey outliers, Bowley skewness, and extended means (weighted, trimmed, geometric, harmonic).
Compute mean, median (Type‑7), and mode alongside quartiles, IQR, Tukey outliers, Bowley skewness, and extended means (weighted, trimmed, geometric, harmonic). Evidence‑based methods match common statistical software defaults for reproducible results.
Mean, median, mode, quartiles (Type‑7), IQR, Bowley skewness, range, min, max, and sum.
Weighted mean, trimmed mean, geometric mean for positive data, and harmonic mean for non‑zero values.
Tukey fences at ±1.5×IQR (mild) and ±3×IQR (extreme), with optional exclusion for robust summaries.
Mean median mode calculator, quartiles calculator (Type‑7), IQR and Tukey outliers, weighted mean, trimmed mean, geometric mean, harmonic mean, Bowley skewness, descriptive statistics.
Complement central tendency with dispersion and probability analysis, or run supporting computations.
Important: This statistical calculator provides accurate calculations for central tendency measures using standard statistical methods including the Hyndman-Fan Type-7 quantile estimator for quartiles and Tukey's method for outlier detection. While calculations are mathematically precise, statistical interpretation depends heavily on data quality, sampling methodology, distribution characteristics, and the specific context of your analysis. Results should be independently verified for critical applications including academic research, scientific studies, quality control processes, or professional statistical analysis. Users should ensure their data meets the assumptions of the statistical methods being applied and consult qualified statisticians or data analysts for complex analyses, hypothesis testing, or when statistical significance assessment is required.