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| | Ch2 Distributions Pt1 (Site not responding. Last check: 2007-10-09) |
 | | Or to put it in pictorial terms, a negatively skewed distribution is one whose elongated tail extends to the left (the low or "negative") end of the range, while a positively skewed distribution is one whose elongated tail extends to the right (the high or "positive") end of the range. |
 | | In the mesokurtic distribution illustrated by Section C the clustering is more moderate than in the leptokurtic distribution, and the curve as it falls away from the peak is more tapering than in the platykurtic distribution. |
 | | In skewed distributions the mean, median, and mode will tend to be separated from one another, with the mean falling toward the tail of the skew, the mode falling away from the tail, at the peak, and the median falling somewhere in-between. |
| vassun.vassar.edu /~lowry/ch2pt1.html (3381 words) |
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