Central Tendency & Data Summary Calculators

Summarise a data set with averages, quartiles, percentiles, and outlier checks.

16 calculators in this category.

Measures of central tendency describe the typical value in a data set. The mean, median, and mode can each give a different answer for the same data, and the right choice depends on the shape of the data and the question being asked.

This category also covers position-based summaries such as quartiles, percentiles, and the five-number summary, along with tools that flag unusually high or low values.

Key concepts

Mean, median, and mode
The mean is the arithmetic average. The median is the middle value when data are sorted. The mode is the most frequent value.
Robustness
The median is less affected by extreme values than the mean, which is why it is often preferred for skewed data.
Quartiles and percentiles
Values that split sorted data into equal-sized parts, used to describe position within a data set.

Frequently asked questions

When should I use the median instead of the mean?

Use the median when the data are skewed or contain extreme values, because a few very large or very small observations can pull the mean away from a typical value while barely moving the median.