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Hi,
If a result is not significant, I realise this is because it may be due to chance.
Is there a way of telling if more subjects are needed or there actually is no difference between the groups?
Thanks in advance
Sylvie.Get your FREE download of MSN Explorer at http://explorer.msn.com
Karl Johanson wrote:
JD Kronicz [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
Hi-
I am a human health risk assessor. I am trying to calculate the 95%
UCL of a lognormal distribution. The data sets I have all have about
350 samples. I can't find a
JD Kronicz [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
Hi-
I am a human health risk assessor. I am trying to calculate the 95%
UCL of a lognormal distribution. The data sets I have all have about
350 samples. I can't find a lookup table for the
The help file for the S+ function loglin is scant. You pass it the model by
specifiying a list, e.g. loglin(dat, list(1:2,3))
I'm trying to understand this. Suppose I have a 3D table. Does 1:N mean fit
the nth way interaction? Are all lower level interactions and main effects
automatically
sylvie perera wrote:
Hi,
If a result is not significant, I realise this is because it may
be due to chance.
Is there a way of telling if more subjects are needed or there
actually is no difference between the groups?
This isn't quite the right question. What you're trying to get at is
I tried to use a visual scale in a student undergrad assignment (so they would
have more continuous-like numbers). It was hopeless. Some of the respondants
circled anchors, no matter how explicit I tried to make the instructions (I see
that you (Michelle) left the intermediate anchors off,
On 10 Sep 2001 15:37:18 -0700, [EMAIL PROTECTED] (JD Kronicz)
wrote:
I am a human health risk assessor. I am trying to calculate the 95%
UCL of a lognormal distribution. The data sets I have all have about
350 samples. I can't find a lookup table for the H-Statistic for more
than 100 samples.
given a simple effect size calculation ... some mean difference compared to
some pooled group or group standard deviation ... is it not possible to
obtain the following combinations (assuming some significance test is done)
effect size
small
You may want to look at this paper... I checked the approximation.. it is
very satisfactory for all practical purpose.
Krishnamoorthy
Zhou, X. H. and Gao, S. (1997). Confidence intervals for the lognormal mean.
Statistics in Medicine, 16, 783-790.
- Original Message -
From: [EMAIL
At 04:04 PM 9/12/01 -0400, you wrote:
if that is true ... then what benefit is there
to look at significance AT ALL
To get published, get tenure, and avoid having to live in a cardboard box
in the park. Ha ha!
Lise
I would like to ask how to convert teragram to kilogram.
Thanks for helping~
=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
I have two questions regarding simple linear regression that I was hoping
someone could help me with.
1) According to what I have learned so far, the levels of X are fixed, so
that only Y is the random variable ( error is random as well). My question
is, what if X is a random variable as well?
Hi
On 12 Sep 2001, dennis roberts wrote:
At 07:23 PM 9/12/01 -0500, jim clark wrote:
What your table shows is that _both_ dimensions are informative.
That is, you cannot derive effect size from significance, nor
significance from effect size. To illustrate why you need both,
consider a
Tera indicates 10^12, which is a trillion, in the American system.
Kilo indicates a thousand, or 10^3.
So, converting teragrams to kilograms involves multiplying by 10^9, i.e.
1,000,000,000.
Jerrold H. Zar, Professor
Department of Biological Sciences
Northern Illinois University
DeKalb, IL
Hi
On 12 Sep 2001, Dennis Roberts wrote:
given a simple effect size calculation ... some mean difference compared to
some pooled group or group standard deviation ... is it not possible to
obtain the following combinations (assuming some significance test is done)
¥ð-³·¤Hºµ¿ß-¥ð--¦b¥[®³¤j [EMAIL PROTECTED] writes:
I would like to ask how to convert teragram to kilogram.
From http://physics.nist.gov/cuu/Units/prefixes.html,
SI prefix `Tera' == 10^12 = 1,000,000,000,000.
SI prefix `kilo' == 10^3 = 1,000.
The rest is left as an exercise for the student.
[cc'd to previous poster; please follow up in newsgroup]
Jerry Dallal [EMAIL PROTECTED] wrote in sci.stat.edu:
What you're trying to get at is
answered in part by a confidence interval for the difference between
the groups, which tells you what differences are consistent with the
data.
See my
You need to check (may be by simulations) if your test has any power to
reject the null. If the power is low than get more subjects.
On 12 Sep 2001, sylvie perera wrote:
Hi,
If a result is not significant, I realise this is because it may be due
to chance.
Is there a way of telling if
the assumption of fixed regressors (X) is the first to be relaxed
usually. There is no sence to assume fixed regressors unless your data is
coming from a controled expreriment. The model and estimation methods may
stay without change, only the interpretation of the model changes. Now
you can
At 07:23 PM 9/12/01 -0500, jim clark wrote:
Hi
What your table shows is that _both_ dimensions are informative.
That is, you cannot derive effect size from significance, nor
significance from effect size. To illustrate why you need both,
consider a study with small n that happened to get a
At 10:10 PM 9/12/01 -0400, Stan Brown wrote:
[cc'd to previous poster; please follow up in newsgroup]
Jerry Dallal [EMAIL PROTECTED] wrote in sci.stat.edu:
One suggestion, if I may: I scratched my head for a moment over
SEM. At least in my course, I don't believe the textbook ever uses
that
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