rgchristensen wrote on Mar 11
th, 2014 at 10:11am:
joeb:
Mean radius, radial SD, and group size can be inferred from one another ONLY if you know the distribution.
I don't think so.
Given that one can prove a Gaussian distribution (not easy, nor safe to assume), you can readily relate these quantities. For other distributions, the math can get hairy.
Interesting parallels are found in the evaluation of shotgun patterns.
CHRIS
RGChristensen
ARE GROUPS DISTRIBUTED NORMAL?
Much of what follows is based on the assumption that group sizes, or at least average group size, is distributed normal. This paper is in support of that assumption.
How are "normal" groups and group sizes modeled?
In "A GROUP SIZE MODEL" the horizontal and vertical deviations of each shot are distributed random normal and are the same for horizontal and vertical (means round groups) with average (= arithmetic mean here) of zero (means groups center is at zero).
Another try. Each shot location is at H(orizontal) and V(ertical) where H and V are distributed random normal with average = 0 and standard deviation s.
The model shot deviation is distributed normal.
Shot location is H,V; first shot at H1V1, second shot at H2V2, third shot at H3V3…nth shot at HnVn.
The distance between H1V1 and H2V2 is sqrt ((H1-H2)^2 +(V1-V2)^2).
We'll call this distance D1,2. Then group size is the maximum of the combinations of D1,n, (composed of D1,2; D1,3; D1,…D1,n; D2,3; D2,4;D2,…D2,n; all the way to Dn-1,n.. (C of n, r at a time = n!/r!(n-r)!)
Another try. The group size of a 5 shot group is the maximum of the distances 1,2; 1,3; 1,4; 1,5; 2,3; 2,4; 2,5; 3,4; 3,5; 4,5.
Thus the model produces group sizes with any standard deviation and mean, commonly with H and V standard deviations equal and means = 0. Other values may be used.