# Summary Statistics: Definition and Examples

Statistics Definitions > Summary Statistics

SPSS output showing the summary statistics minimum, mean, maximum and standard deviation.

Summary statistics summarize and provide information about your sample data. It tells you something about the values in your data set. This includes where the average lies and whether your data is skewed. Summary statistics fall into three main categories:

## Summary Statistics: Measures of location

Measures of location tell you where your data is centered at, or where a trend lies. Click on one of the following common measures of location for a full definition and examples for that particular measure:

## Summary Statistics: Measures of Spread

Measures of spread tell you (perhaps not surprisingly!) how spread out or varied your data set is. This can be important information. For example, test scores that are in the 60-90 range might be expected while scores in the 20-70 range might indicate a problem. Range isn’t the only measure of spread though. Click on one of the names below for a full definition of that particular measure of spread.

## Summary Statistics: Graphs and Charts

There are literally dozens of ways to display summary data using graphs or charts. Some of the most common ones are listed below. Click on any name for a definition of that particular chart type.

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