Why not use a pie chart? Easy to understand and probably easily done with
Excel or Access.
Greg
Hope this helps.
Gregory E. Heath [EMAIL PROTECTED] The views expressed here are
M.I.T. Lincoln Lab (781) 981-2815not necessarily shared by
Lexington, MA(781) 981-0908(FAX
Date: Tue, 14 AUG 2001 16:27:11 +1000
From: Hong Ooi <[EMAIL PROTECTED]>
> On 13 Aug 2001 18:59:10 -0700, [EMAIL PROTECTED] (David
> Goldsmith) wrote:
>
> >Aloha! I'm fitting theoretically normally distributed data, of widely
> >differing sample sizes, to Gaussians by histograming it and then u
From: Herman Rubin <[EMAIL PROTECTED]>
Newsgroups: sci.stat.consult, sci.stat.edu, sci.stat.math
> In article <Pine.SOL.3.91.1000428033622.20399C-10@miles>,
> Greg Heath <[EMAIL PROTECTED]> wrote:
> >Date: Fri, 28 APR 2000 00:00:45
Date: Fri, 28 APR 2000 16:04:34 -0400
From: Rich Ulrich <[EMAIL PROTECTED]>
> On Fri, 28 Apr 2000 03:31:45 -0400, Greg Heath
> <[EMAIL PROTECTED]> wrote:
>
> < snip, various >
> > My simulation currently assumes that the residuals are Gaussian. If
> >
Date: Fri, 28 APR 2000 00:00:45 GMT
From: [EMAIL PROTECTED]
> > 1. Randomly draw, with replacement, 526 measurements.
>
> You are only justfied in resampling in this way if you know that all
> your observations are iid. I didn't quite follow your problem but it
> sounds that the iid assumption i
Date: Thu, 27 APR 2000 17:17:05 -0400
From: Rich Ulrich <[EMAIL PROTECTED]>
> On Wed, 26 Apr 2000 20:43:02 -0400, Greg Heath
> <[EMAIL PROTECTED]> wrote:
>
> > Can you help or lead me to the appropriate reference?
> >
> > I have 526 radar measurem
15not necessarily shared by
Lexington, MA(781) 981-0908(FAX) M.I.T./LL or its sponsors
02420-9185, USA
> Greg Heath <[EMAIL PROTECTED]> wrote in message
> Pine.SOL.3.91.1000426203238.20192C-10@miles">news:Pine.SOL.3.91.1000426203238.20192C-10@miles...
&
Can you help or lead me to the appropriate reference?
I have 526 radar measurements evenly sampled over 26.25 sec (i.e., pulse
repetition frequency = 20 points per second).
mean = 0.0
stdv = 1.2
t0= 1sec (1/e decorrelation time from the autocorrelation function)
I want to test the
