Feinstein listed the different shapes commonly seen in data distributions. The type of shape determines the mathematics of the analysis.
(1) symmetrical vs nonsymmetrical
(2) convex (open down) or concave (open up)
(3) defining features
convex or concave
square wave or pulse function
smooth with no distinct peak
smooth with central peak
peak at left
peak at right
curved line with right end higher than left
J (upward slope) curved line
curved line with left end higher than right
L or reverse-J (downward slope) curved line
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