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In this tutorial and the next several, were going to discuss the concept of dispersion also known as variability. Because of some of the formulas this is sometimes a scary topic but the content behind it is really quite simple. And what were talking about here is just how much our data, how much our distribution, our list of data varies. And in some of the previous tutorials we talked about measures of central tendency. Those measures of central tendency gave us an idea of what was average, what was typical. Dispersion and variability tell us how much our data differ from that measure of central tendency. And the concept, as I said, is really quite simple. And heres a simple example to show this. Suppose we have two classes, statistics class A and class B. And lets say in class A theres 4 students and student 1 in class A scored a 0 on the exam. Student 2 scored a 0. Student 3 scored a 100 and student 4 scored a 100. We can see that the average, the mean, test score for class
