Enter a set of numbers to instantly find the mean, median, mode, range, sum, and more.
These three "measures of central tendency" each describe the middle of a data set in a different way, and they can tell very different stories.
When a data set is symmetrical, the mean and median are close. When it's skewed by extreme values, they diverge. Consider salaries of 30k, 35k, 40k, 45k, and 500k: the mean is 124k, but the median is 40k. The median far better represents a "typical" value here, which is why choosing the right average matters.
The range — the largest value minus the smallest — is the simplest measure of how spread out your data is. A small range means the values cluster tightly; a large range means they're widely dispersed. For a fuller picture of spread, statisticians also use variance and standard deviation, but range is the quickest gauge.
Add up all the numbers and divide by how many numbers there are. For 4, 8, and 12, the mean is (4 + 8 + 12) ÷ 3 = 8.
The mean is the arithmetic average of all values, while the median is the middle value when the data is sorted. The median is more reliable when the data has outliers.
Yes. If two or more values tie for the most frequent, the set is multimodal and has multiple modes. If every value appears once, there is no mode.
The range is the difference between the largest and smallest values. It's a quick measure of how spread out the data is.