Measures of center refer to statistical measures that represent the central tendency or average of a set of data. They provide a single value that summarizes the typical or central value within a dataset.
Related terms
Measures of Spread: Measures of spread quantify the variability or dispersion within a dataset. They provide information about how spread out or clustered the data points are around the measures of center.
Outliers: Outliers are extreme values in a dataset that significantly differ from other observations. They can greatly influence measures of center and should be carefully considered when analyzing data.
Skewness: Skewness is a measure that describes the asymmetry or lack thereof in a probability distribution. It indicates whether one tail is longer or heavier than the other relative to the measures of center.