Good advice on all counts.
I'm curious about where you want to take this 'correlation' if found. A
college admissions person could use the relationship (in the form of a
regression equation), if any, to predict the score on the 'college level
subject' for those students who were unable to take s
[ posted and e-mailed.]
On Sat, 29 Dec 2001 16:46:10 -0500, [EMAIL PROTECTED] (Stan Brown)
wrote:
[... ]
>
> [The student is led to enter two sets of unpaired figures into
> Excel. They represent miles per gallon with gasoline A and gasoline
> B. I won't give the actual figures, but here's a s
Rich Ulrich <[EMAIL PROTECTED]> wrote in sci.stat.edu:
>[ posted and e-mailed.]
Ditto.
>On Sat, 29 Dec 2001 16:46:10 -0500, [EMAIL PROTECTED] (Stan Brown)
>wrote:
>> Now we come to the part I'm having conceptual trouble with: "Have
>> you proven that one gas gives better mileage than the other?
Hi Stan,
This is sent to both you and edstat.
"Have you proven that one gas gives better mileage than the other? If
so, which one is better?"
There are two points. The first is that you have not 'proved' anything -
except in the most casual interpretation of 'proof'. What you have done
is provi
In trying to clear out my e-mail inbox, I came across this post, for
which there seemed not to have been any responses.
On Fri, 2 Feb 2001, Caroline Brown wrote:
> I have an analysis problem, which I am researching solutions to, and
> David Howell of UVM suggested I mail the query to you.
>
On Sun, 30 Dec 2001, Stan Brown wrote in part:
> A. G. McDowell <[EMAIL PROTECTED]> wrote:
> >The significance value associated with the one-tailed test will always
> >be half the significance value associated with the two-tailed test,
>
> For means, yes. Not for proportions, I think.
Oh? W
A. G. McDowell <[EMAIL PROTECTED]> wrote in
sci.stat.edu:
>The significance value associated with the one-tailed test will always
>be half the significance value associated with the two-tailed test,
For means, yes. Not for proportions, I think. (I wasn't asking about
a proportion in my original
E. Jacquelin Dietz <[EMAIL PROTECTED]> wrote in sci.stat.edu:
(quoting someone)
>> A number of responses were given over the last month or so regarding
>>high stakes testing. Did anyone keep this thread archived?
>
>EdStat messages are archived at http://jse.stat.ncsu.edu
And of co
I plotted a histogram density of my data and its smooth version using the
normal kernel function. I tried to plot the estimated PDF (Laplacian &
Generalised Gaussian) estimated using maximum likelihood method on top as
well. Graphically, its seems that Laplacian wil fit thr histogram density
graph
Title: Untitled Document
In article <[EMAIL PROTECTED]>, Stan Brown
<[EMAIL PROTECTED]> writes
>I think I've got some sort of mental block on the following point.
>Can someone explain this to me, plainly and simply, please?
>
>Let me start with a sample problem, NOT created by me:
>
>[The student is led to enter two sets
11 matches
Mail list logo