Ah, another great weekend in the books only to return to this sort of junk.
Joe,
If you don't like it, don't go there. It is as simple as that. If you want to hang on to range rather than SDs as an estimate of SDs - great. More power to ya. But it won't fly anywhere in any science I'm familiar with. It surely won't get you published in my field. If you wish to bandy about references and qualification on traditional and universally accepted statistical techniques, I have on my shelf right now,...
Design and Analysis of Experiments by John Gill. I spent an entire year in Gill's courses (3 volumes).
Then there is another perennial favorite, Sokal and Rolf's
Biometery - about 850 pages of quite basic traditional statistics,
And, let's see, Conover's
Practical Nonparameterics -another semester spent on dissecting that. Nonparameterics could be a quick good fix to the lack of statistical rigor in shooting. But then you would see that immediately.
There were several course in multivariate statistics that I spent my time (and money) in. No texts handy, but multivariate stats would be an interesting way to go for a lot of load development, but no way that I know to make it easy for the average shooter. Oh wait, yes,
Multivariate Statstical Methods by Manly. And a couple devoted to the arcane field of community ecology that would have little utility here.
Then, lest we dwell on just the applied stats, I spent a year working through Hogg and Craig's
Introduction to Mathematical Statistics, deriving the theoretical underpinnings of stastitical methology and probability theory. Worked under Larry Shear on this. he is fairly intense and more than slightly competent by most standards (standards of statisticians, not rank amatures like me).
And last of the general theoretical stastictics books, Noel Cressie's
Statistics for Spatial Data. Noel was/is pretty much a spatial stats diety. He makes Larry look like milk toast for breakfast. I spent a semester with him and a dozen of his and other Stats PhD students learning how to work with spatially organized data. Application of spatial stats to shooting would be an interesting idea since a group on a target is nothing less than a map of events in space and time, but point-process analyses, or some sort of cludged variogram/kriging technique might be a whole lot more work than it's worth. It would be great, I think, for diagnosing an potentially busted scope however, and probably other things as well.
None of these, btw, rely on range or semi-interquartile range to do anything useful.
So, there you have it. My "library" as it were (and is) and my background. For an ecologist, I'm probably in the middle of the pack with respect to using stats, but a good bit ahead of the pack with respect to statistical training. I'm surely no professional statistician, but I play with them (professional statisticians every day
So, I'll stick with that. Something like 10 courses in statistical training and 25+ years of doing it is quite enough to get me down the road to better shooting analyses.
End Part I
Brent