NEUR 2002 Lecture 4: Lecture 4 - Jan 17, 2019
20 Jan 2019
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Document Summary
Variability - describes the degree to which the score are spread out or clustered together quantitative distance measure based on the differences between scores. Describes distance of the spread of scores or distance of a score from the mean. Describes the amount of variability in the distribution. Describes how well an individual score or group of scores represent the entire distribution. Only applies for continuous data, real limits are used range urlforxmax lrl forxmin example: data5,68,910,1215,38 xma 38 xmin 5. 34 based on two scores, not all data, so it is a very unreliable measure of variability. Most common and most important measure of variability is sd. A measure of the standard distance from the mean. Describes whether the score are clustered closely around the mean or are widely scattered. Variance is necessary companion concept to sd but not the same concept. Distance between a point of data (x) and the mean ( )
