Descriptive Statistics
A fuller guide to mean, median, mode, range, and weighted average, focused on what each measure notices, what it ignores, and why the right summary depends on the shape of the data.
Use this calculator for the arithmetic centre of a dataset, then compare it with spread or median tools if the result needs more context.
Inputs
This topic also has a deeper guide and a printable reference pack, so you can move from the live answer into the method, assumptions, and worked examples without leaving the topic cluster.
A fuller printable guide to descriptive statistics, centre measures, spread measures, and interpretation habits that help prevent misleading summaries.
A more substantial worked-examples pack for descriptive statistics and spread measures, designed for revision and checking.
Use this page when every value should contribute equally to the average and you want the arithmetic centre of the dataset.
The main result is the mean. It is most useful when read alongside the size and spread of the dataset rather than treated as a complete description on its own.
If the values are 10, 12, 14, and 20, the mean is 14 because their total is 56 and there are 4 values.
The mean is sensitive to outliers. If the dataset is skewed or contains unusually large or small values, compare the result with the median and standard deviation.
Use the Median Calculator to calculate median from your own dataset with practical output and sensible validation.
Use the Mode Calculator to calculate mode from your own dataset with practical output and sensible validation.
Measure how widely a dataset spreads around its average by calculating the standard deviation.
Use the Weighted Average Calculator to calculate weighted average from your own dataset with practical output and sensible validation.