Enter numbers to find minimum, maximum, and range.
Use descriptive context first, choose the method that matches the design, then keep inputs, settings and result evidence reproducible instead of copying a p-value without its analysis recipe.
Use plots and descriptive summaries before formal tests. Check the sampling/design assumptions that matter for the chosen method, report effect size and uncertainty where available, and avoid treating a threshold such as p < .05 as proof of importance, causation, or truth. Browser calculations are educational/planning utilities, not domain-specific professional advice.
Use the tool first, then apply these checks to verify inputs, interpret the result, and hand it off without displacing the primary workflow.
A range without its minimum and maximum hides where the span comes from. Record all three values and the observation count so a result such as 40 can be distinguished between −20 to 20 and 60 to 100. Keep the source unit attached because range has the same unit as the original measurements.
One malformed token, unit suffix, thousands separator, or pasted header can change which values are recognized. Confirm negatives, decimals, scientific notation, repeated values, and missing entries are being handled as intended. For important datasets, sort or independently inspect the smallest and largest observations before using the result in a report.
Range uses only the two extreme observations, so a single unusual value can expand it dramatically while the middle of the data remains tightly clustered. Investigate suspicious endpoints rather than deleting them automatically, and compare range with IQR, standard deviation, or a plot when the distribution of the remaining observations matters.
Larger samples have more opportunities to contain extreme values, and different measurement windows can produce different endpoints even when the underlying process is similar. When comparing groups, keep sample size, collection period, units, and inclusion rules visible. Range is a quick descriptive summary, not a complete test of variability or stability.
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