KINE 2050 Lecture Notes - Lecture 7: South Dakota Highway 10, Level Of Measurement, Normal Distribution
19 Apr 2018
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Document Summary
Concept measure of variability is a single number which describes the spread in a set of data. Range: total spread in data, highest score lowest score. Interpretation: score range over which 100% of scores fall: advantage: quick, disadvantage: influenced by single extreme score. Standard deviation variance larger spread in scores > greater deviation > greater variability: measurement of variability for scores about the mean, measure of deviations of all the scores from the mean, expressed as a single number, sd = Sd method of specifying % of scores falling within certain score limits around the mean. Example from slides: 68% of scores fall within range of 12-16 for 14+/-2: subtracting two from mean and adding two to mean. Rule of thumb: - if mean and median differ by 1 sd or more then use median. With extreme scores, mean is not good interpretation of central tendency. Audit example: half of us fall above, half of us fall below.
