Statistics Measuring Centrality

Centrality Revisited

As mentioned in Chapter 3, when looking at a variable, centrality is the most representative data point in the spread of data. The type of centrality measure depends on the type of variable as discussed next.

Centrality for Continuous Variables


For interval or ratio data we most commonly use the mean/average like the statistics in the “Mean” column of the summary Figure 7.1 Example of a final descriptive statistics table and the “Mean” column of the SAS output in Figure 7.3 Example of descriptive statistics output via SAS PROC MEANS.
To get the average of a set of scores add all the scores together and divide by the number of data points. For example, the average of ...

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