BCBetter Calculators

Range Calculator

Calculate the statistical range (max minus min) for up to 8 numbers.

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Enter your values and click Calculate

How It Works

The range is calculated by identifying the maximum value and the minimum value in your dataset, then subtracting the minimum from the maximum: Range = Max − Min. This calculator accepts up to 8 values — the first 6 are always included, while values 7 and 8 are optional toggles that you can enable as needed. In addition to range, the calculator also provides the minimum, maximum, mean (arithmetic average of all included values), median (the middle value when the data is sorted, or the average of the two middle values for an even count), and total count. Together these five statistics give a well-rounded summary of your data's center, extremes, and variability without needing a spreadsheet. Because range only captures the distance between the two most extreme values, it can be heavily influenced by a single outlier — so comparing range with the mean and median helps reveal whether outliers are distorting the spread.

Examples

Values: 5, 12, 3, 28, 7, 19
Max 28, min 3.
Result: Range = 25.
Tight cluster
Values 10, 11, 10, 12, 11, 10.
Result: Range = 2 — data is tightly grouped.
Outlier effect
Values 5, 6, 5, 7, 6, 100.
Result: Range = 95 — single outlier inflates the spread.

Frequently Asked Questions

Is range a good measure of spread?
Range is simple and intuitive, but it is sensitive to outliers — a single extreme value can dominate the result. For a more robust measure of spread, consider using standard deviation or interquartile range, which account for every value in the dataset.
What is the difference between range and standard deviation?
Range only uses the two extreme values (max and min) and ignores everything in between. Standard deviation considers every single data point and measures how far each one deviates from the mean, making it a more comprehensive and reliable indicator of spread.
When should I use range instead of standard deviation?
Range is ideal when you need a quick, easy-to-understand summary and your data has no significant outliers. It is commonly used in quality control, sports statistics, and classroom settings where simplicity is valued over precision.

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