On Sun, 17 Nov 2013 11:10:30 -0800 (PST), Steve <email@example.com> wrote:
ru> >> >> If you wanted to confine a normal to [0,1] while >> preserving the first 3 SD of range, you would take >> a normal deviate and divide by 9, then add 0.5. >> >> Trim or truncate (whichever you arbitrarily decide) >> whatever draws exceed the range. >> >> If you want a skewed distribution between 0 and1, >> you might look at the beta. >> >> -- >> >> Rich Ulrich > >Thanks Rich. I don't understand 100% at the moment but there's enough there now that at least I know what to search for, study, and try. Specifically, I don't know what 'normal deviate' means. If it means the rate of change of the normal curve, I don't know how to calculate that.
My usage there was sloppy. But I'm not sure how much spelling out you need, because I figured what I said would be intelligible if you had any relevant background at all.
My sloppy language was mainly appropriate for looking at a Monte-carlo simulation, and generating values that fall in a given distribution. A z-score, whichh is normal, mean 0, variance 1, is called a "normal deviate."
So, Standard Normal is N (0,1) where 0 is mean, 1 is Var.
A normal that is "mostly" between [0,1], as described, is N(0.5, 0.1111...)