Range Calculator

Range Calculator: run range calculations online. Formula, assumptions, and interpretation guide.

The Range Calculator summarizes a finite numeric sample. Enter values separated by commas or whitespace; if any entries are ignored, the calculator lists them so you can correct the input before relying on the summary.

The page reports the accepted-value count n, mean, median, mode, sample standard deviation, sample variance, range, interquartile range, skewness, and minimum/maximum. Compare the mean calculator, standard deviation calculator, and interquartile range calculator when you need one of those summaries on its own.

  1. Enter at least two finite numeric values, separated by commas or whitespace.
  2. Review any “Ignored N non-numeric entries” message and its token list; only accepted finite values are included.
  3. Read n, mean, median, mode, sample standard deviation, sample variance, range, IQR, skewness, and min/max from the result rows.
  4. Skewness is marked n/a when all values are equal or fewer than three values are available.
  5. A statistic that exceeds the supported numeric range is labeled “Exceeds numeric range” instead of displaying Infinity.

Range and descriptive-statistics formulas

Range = maximum − minimum

Mean = Σx / n

Sample variance = Σ(x − x̄)² / (n − 1); sample standard deviation = √variance

Interquartile range = Q3 − Q1

Skewness is marked n/a for a constant sample or when fewer than three accepted values are available.

Reading your Range results

The rows shown on this page

The calculator displays n, mean, median, mode, sample standard deviation, sample variance, range, IQR, skewness, and min/max. It does not show separate sum or count rows: n is the number of accepted finite values. Check the ignored-token message before interpreting any of these summaries.

Statistics tips and best practices

Common mistakes to avoid

These are descriptive summaries of the accepted values only. They do not establish a probability model, explain why the observations differ, or support causal conclusions.

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