This sounds like homework but I will .
Anyway assume the normal approximation to the binomial can be used (is this
reasonable?) then the formula for estimating sample sizes based on a given
confidence level and a given maximum error is
n = z*Sqrt(p*(1-p))/e
where z = the z-scores associated wit
In short, you don't. If the number of terms in the model equals the number
of observations you have much bigger problems than not being able to compute
adjusted R^2. It should always be the case that the number of observations
exceed the number of terms in the model otherwise you cannot calculate
tion in SPSS. Put one factor on the x-axis and the
other in the separate lines box. Significant intercations will show up as
non-parallel profiles while non-significant interaction will exhibit
approximately parallel parofiles. You should be able to work out the nature
of the interaction from the plo
Hi,
>
> I was just wondering what does a dots (.) signify when it fills the columns
> of the Effects or Parameters table in the MANOVA output.
--
Dr Graeme Byrne
La Trobe University, Bendigo
PO Box 199, Bendigo, 3552
Phone: 61 3 5444 7263
Fax: 61 3 5444
s? I
> can see NONE!!
>
> Sheila King
> [EMAIL PROTECTED]
> http://www.thinkspot.net/sheila/
> http://www.k12groups.org/
--
Dr Graeme Byrne
La Trobe University, Bendigo
PO Box 199, Bendigo, 3552
Phone: 61 3 5444 7263
Fax: 61 3 5444 7998
[EMAIL PROTECTED]
ent.
--
Dr Graeme Byrne
La Trobe University, Bendigo
PO Box 199, Bendigo, 3552
Phone: 61 3 5444 7263
Fax: 61 3 5444 7998
[EMAIL PROTECTED]
=
Instructions for joining and leaving this list and remarks about
the problem of INA
o/People/raman/aster/demo.html
--
Dr Graeme Byrne
La Trobe University, Bendigo
PO Box 199, Bendigo, 3552
Phone: 61 3 5444 7263
Fax: 61 3 5444 7998
[EMAIL PROTECTED]
===
This list is open to everyone. Occasionally, le
300 (Australian). As a student you may be entitled to a discount.=
Both have graphics capability
--
Dr Graeme Byrne
La Trobe University, Bendigo
PO Box 199, Bendigo, 3552
Phone: 61 3 5444 7263
Fax: 61 3 5444 7998
[EMAIL PROTECTED]
==
be the same as looking at the variance of a linear regression (does
> variance increase, decrease, or stay the same with increasing X values).
> Any suggestions?
>
> Thanks again. Mike
--
Dr Graeme Byrne
La Trobe University, Bendigo
PO Box 199, B
I'm not sure if this will work for your experiment but have you tried
respecifying the model in terms of a nested design.
Using syntax you can type A(B) in the DESIGN subcommand which means A nested
within B. The code example below would fit the model
Y = Constant + A+ B(A)
UNIANOVA
Y BY A B
Try a cross-correlation function plot. In SPSS you find this option under
Graphs>Time Series> CCF
"G. Anthony Reina" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> I'm looking for a way to show how two continuous signals are correlated
> over time. In other
You might find some useful info here
http://mathworld.wolfram.com/
<[EMAIL PROTECTED]> wrote in message [EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> Hi. I am a graduate student taking my fourth graduate statistics course.
I
> was wondering if you could suggest any websites that would be help
Try
http://www.itl.nist.gov/div894/894.01/proc/darpa99/pdf/tdt240.pdf
for some clues
"Aaron & Katya" <[EMAIL PROTECTED]> wrote in message
VRcQ4.851$[EMAIL PROTECTED]">news:VRcQ4.851$[EMAIL PROTECTED]...
> Does anyone know of a reference that describes the steps in computing the
> mean for
ility by the sum of
the observed frequencies.
You might also be able to use the theorectical mean q/((q - 1 )*Log[1 - q])
to estimate q by equating it to the sample mean and solving for q.
>
>
> With thanks in advance,
> Vincent Vinh-Hung
could be
used to analyse all 5 repeats but that is another story entirely.
--
Dr Graeme Byrne
Division of Mathematics
La Trobe University, Bendigo
Ph:61 3 5444 7263
Fax: 61 3 5444 7998
the coefficients and
the effect as it depends on the coding scheme used to define the dummy
variables (e.g. reference cell (0,1) or "effects" (-1,01)).
--
----
Dr Graeme Byrne
Division of Mathematics
La Trobe University, Bendigo
Ph:61 3 544
16 matches
Mail list logo