Central Tendency & Data Summary Calculators
Summarise a data set with averages, quartiles, percentiles, and outlier checks.
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.
Calculators in this category
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- Central Tendency & Summary5 Number Summary CalculatorComing soon
- Central Tendency & SummaryAverage Rating CalculatorComing soon
- Central Tendency & SummaryDecile CalculatorComing soon
- Central Tendency & SummaryDescriptive Statistics CalculatorComing soon
- Central Tendency & SummaryLeast to Greatest CalculatorComing soon
- Central Tendency & SummaryMean Median Mode CalculatorComing soon
- Central Tendency & SummaryMedian CalculatorComing soon
- Central Tendency & SummaryMidrange CalculatorComing soon
- Central Tendency & SummaryMinimum and Maximum CalculatorComing soon
- Central Tendency & SummaryMode CalculatorComing soon
- Central Tendency & SummaryOutlier CalculatorComing soon
- Central Tendency & SummaryPercentile CalculatorComing soon
- Central Tendency & SummaryPercentile Rank CalculatorComing soon
- Central Tendency & SummaryQuartile CalculatorComing soon
- Central Tendency & SummaryRange CalculatorComing soon
- Central Tendency & SummaryUpper and Lower Fence CalculatorComing soon
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.