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The graphs below plot the data values in Distributions 1 and 2. For each plot, the mean is positioned across the graph.

Notice that when a score of 100 is added to the second distribution, the mean is literally pulled in the direction of this larger score -- moving from a value of 2.25 in Distribution 1 to a value of 21.8 in Distribution 2.

The significant change in the value of the mean for Distributions 1 and 2 confirms the mean's sensitivity to all scores. However, this level of sensitivity is not always an advantage. Let's see why.

 
 
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