Calculate mean, median, mode, standard deviation, min, max, and range from a list of numbers.
There are three common measures of "average" — each tells a different story about your data:
Standard deviation measures how spread out values are from the mean. A small standard deviation means values cluster near the mean; a large one means they are spread out widely. For the dataset [10, 20, 30]: mean = 20, standard deviation = 8.16.
The arithmetic mean adds all values and divides by the count. The median is the middle value when sorted (average of the two middle values for even counts), and the mode is the most frequent value. Each tells a different story about your data.
For the set 4, 7, 7, 10, 52: the mean is 16, the median 7, the mode 7. The single outlier (52) drags the mean far above the typical value — which is why house prices and incomes are usually reported as medians.
When should I use a weighted average? When values carry different importance — course grades weighted by credits, portfolio returns weighted by position size.
What about the geometric mean? Use it for growth rates: the geometric mean of +50% and −50% correctly shows an overall loss, where the arithmetic mean misleadingly shows 0%.