Enter a list of numbers and instantly get the mean, median, sum, range and standard deviation.
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The arithmetic mean is the sum of the values divided by how many there are. The median is the middle value after sorting, and the standard deviation measures the spread around the mean:
For 12, 7, 19, 3, 9, 14: sum = 64, n = 6, so the mean = 64 ÷ 6 ≈ 10.67. The median (sorted: 3, 7, 9, 12, 14, 19) = (9 + 12) ÷ 2 = 10.5.
Add all the values and divide by how many there are. For 12, 7, 19, 3, 9, 14: sum 64 ÷ 6 ≈ 10.67.
The median is the middle value after sorting (the average of the two middle ones if the count is even). Unlike the mean, it is not swayed by extreme values.
It measures how spread out the values are around the mean. A small deviation means values close to the mean; a large one means they are dispersed.
The sample deviation divides by (n − 1) and is used when the data is a subset; the population deviation divides by n, when you have all the data.
Separate them with spaces, commas or new lines. Decimals work with a comma (3,5) or a dot (3.5).
In a weighted average each value has a weight (e.g. credits or coefficients). Multiply each value by its weight, add the results and divide by the sum of the weights.
The mode is the value that appears most often in a data set. A set can have one mode, several (bimodal) or none.
The mean is sum ÷ count, the median is the middle value, and the mode is the most frequent one. For skewed data (with outliers), the median is often more representative.
Add all the grades and divide by how many there are. If grades have coefficients (e.g. an exam counts double), use the weighted average.
Yes — the arithmetic mean is what people usually call the average: add up all the numbers and divide by how many there are. The median (the middle value) is a different measure.