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Re: t-value


From: Jonathan Stickel
Subject: Re: t-value
Date: Wed, 23 Apr 2008 09:55:16 -0600
User-agent: Thunderbird 2.0.0.12 (Macintosh/20080213)

David Bateman wrote:
Jonathan Stickel wrote:
OK, easy enough now that I know how.  The changeset file is attached.

Maybe a "how to submit changes" paragraph could be added to the "Help
Wanted" part of the webpage?

Regards,
Jonathan
I always thought CDF stood for "cumulative distribution function"..

D.



You are right! Simple word choice errors as I was typing. Here is another changeset, or you can just make the trivial changes yourself if you prefer.

Jonathan
# HG changeset patch
# User address@hidden
# Date 1208965991 21600
# Node ID 92a8d10dfb92498f606eb8dbbdaccad3d6564dce
# Parent  53c43e30fbf2f583fc4635f49e63cfd0d0366339
another revision for tcdf and tinv help

diff -r 53c43e30fbf2 -r 92a8d10dfb92 scripts/statistics/distributions/tcdf.m
--- a/scripts/statistics/distributions/tcdf.m   Wed Apr 23 08:57:47 2008 -0600
+++ b/scripts/statistics/distributions/tcdf.m   Wed Apr 23 09:53:11 2008 -0600
@@ -18,7 +18,7 @@
 
 ## -*- texinfo -*-
 ## @deftypefn {Function File} {} tcdf (@var{x}, @var{n})
-## For each element of @var{x}, compute the continuous distribution
+## For each element of @var{x}, compute the cumulative distribution
 ## function (CDF) at @var{x} of the t (Student) distribution with
 ## @var{n} degrees of freedom, i.e., PROB (t(@var{n}) <= @var{x}).
 ## @end deftypefn
diff -r 53c43e30fbf2 -r 92a8d10dfb92 scripts/statistics/distributions/tinv.m
--- a/scripts/statistics/distributions/tinv.m   Wed Apr 23 08:57:47 2008 -0600
+++ b/scripts/statistics/distributions/tinv.m   Wed Apr 23 09:53:11 2008 -0600
@@ -19,7 +19,7 @@
 ## -*- texinfo -*-
 ## @deftypefn {Function File} {} tinv (@var{x}, @var{n})
 ## For each probability value @var{x}, compute the the inverse of the
-## continuous distribution function (CDF) of the t (Student)
+## cumulative distribution function (CDF) of the t (Student)
 ## distribution with degrees of freedom @var{n}.  This function is
 ## analagous to looking in a table for the t-value of a single-tailed
 ## distribution.

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