Brent, Happy New Year. I hoped that this would get your attention.
I have tested powders/measures for accuracy = repeatability plus other characteristics, and have more measures on the way for more testing.
I know something about mean and S for samples (all n>/=30).
I have regression equations for MV vs Charge weight for some popular loads/ctgs.
Now I need to know: Normal dist, mean=M and s.d.= S, select 5 samples(then again for 10), calculate max-min, result = distribution of differences or table of differences in units of s.d.
Ex. Charge S = .1 gr, any set of 5 charges can have a difference of +/- 3 S = .6 gr., unlikely, or a smaller number = more likely.
The product of the powder measure is a dist. of charge weights, the shooter sees sets of 5 or 10 wts., distributions of wts.
By applying the dist of differences AND the MV vs Charge wt. data, we can show the dist of velocity differences expected, or make statements like:
"With 12/Unique in the 45/70, 457125, using a Lyman 55 measure, 5-shot strings will vary < 18 fps 90% of the time."
IN CONTEXT!
All data so far is on the CBA site, Forum, Files, look down at the bottom.
Does this make sense?
joe b.
Quote:joeb,
Knowing exactly what is meant by Monte Carlo simulation, I have trouble guessing what the heck you are talking about in regards to powder measures.
Depending what's involved, I might do it, but for what and why I need some more explanation.
Brent