CRIM 320 Chapter Notes - Chapter 4: Squared Deviations From The Mean, Standard Deviation, Central Tendency
10 Sep 2019
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Document Summary
When employed alone, any measure of central tendency yields only incomplete picture of set of data & therefore can mislead/distort & clarify. Besides measure of central tendency, we need index of how scores scattered around center of distribution. We need measure of what is commonly referred to as variability. Variability - manner in which scores scattered around center of distribution. Difference b/w highest & lowest scores in distribution. Advantage of range - also its most important disadvantage. Is totally dependent on only 2 score values - largest & smallest cases in given set of data. As result, range usually gives merely crude index of variability of distribution. Any measure so strongly affected by just one score may not give precise indication of variability & should be considered only preliminary/rough index. To find deviation, we subtract mean from any raw score.
