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Data Session 5: Notes
Session 5 Part A Part B Part C Part D Part E Homework
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Notes for Session 5, Part E

Note 7

Part E investigates how deviations from the mean can be used to develop a summary measure of the degree of variation in your data. Is there a single number that can describe how much the values in a line plot differ from the mean?

The line plot representation helps us develop an understanding of the mean absolute deviation (MAD). As you become more familiar with the MAD, take some time to think about how this numerical measure relates to your intuitive sense of the degree of variation in the line plots you're working with.

<< back to Part E: Measuring Variation


Note 8

The idea of variation from the mean is related to the idea of fairness in an allocation of coins, which you discussed earlier in this session. Think back to the method of determining the unfairness of an allocation -- counting the number of moves required to transform an ordered allocation to an equal-shares allocation. Here's the connection: The sum of the absolute deviations is equal to twice this required number of moves.

The absolute deviations occur in pairs, since the mean is the "balance point" for the set. Half the absolute deviations are above the mean, and half are below. When a move is made, one coin is moved from a value above the mean to a value below the mean. This removes two of the deviations; the deviation above the mean is reduced, and the deviation below the mean is reduced. Since each move reduces the absolute deviation by two, the sum of the absolute deviations must be twice the required number of moves.

<< back to Part E: Measuring Variation


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