Understanding Deviation in Data Analysis
Deviation is a measure of how much a set of data deviates from the mean or average value. It is calculated as the difference between each data point and the mean.
For example, if we have the following set of exam scores:
90, 80, 75, 65, 95
The mean of this set of scores is 80. The deviation of each score from the mean is:
90 - 80 = 10 (for the first score)
80 - 80 = 0 (for the second score)
75 - 80 = -5 (for the third score)
65 - 80 = -15 (for the fourth score)
95 - 80 = 15 (for the fifth score)
So, the deviations of each score from the mean are: 10, 0, -5, -15, and 15.
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