John Jackson <[EMAIL PROTECTED]> wrote in message
MGns7.49824$[EMAIL PROTECTED]">news:MGns7.49824$[EMAIL PROTECTED]...
> re: the formula:
>
> n = (Z?/e)2
This formula hasn't come over at all well. Please note that newsgroups
work in ascii. What's it supposed to look like? What's it
some people are sure picky ...
given the context in which the original post was made ... it seems like the
audience that the poster was hoping to be able to talk to about CIs was not
very likely to understand them very well ... thus, it is not unreasonable
to proffer examples to get one into h
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In article <[EMAIL PROTECTED]>,
Dennis Roberts <[EMAIL PROTECTED]> wrote:
>as a start, you could relate everyday examples where the notion of CI seems
>to make sense
>
>A. you observe a friend in terms of his/her lateness when planning to meet
>you somewhere ... over time, you take 'samples' of
Have you tried simulations? with something like Resampling Stats or
Minitab?
WBW
On 26 Sep 2001, Warren wrote:
> Hi,
> I've been teaching an introductory stats course for several years.
> I always learn something from my students...hope they learn too.
> One thing I've learned is that confide
At 02:26 PM 9/26/01 -0500, Burke Johnson wrote:
> >From my understanding, there are three popular ways to analyze the
> following design (let's call it the pretest-posttest control-group design):
>
>R Pretest Treatment Posttest
>R PretestControl Posttest
if random assignment has oc
At 04:49 PM 9/26/01 +, John Jackson wrote:
>re: the formula:
>
> n = (Z?/e)2
>
>
>could you express E as a % of a standard deviation .
>
>In other words does a .02 error translate into .02/1 standard deviations,
>assuming you are dealing w/a normal distribution?
well, let's see
Dennis:
Example A is a mistaken interpretation of a confidence interval for a mean.
Unfortunately, this is is a very common misinterpretation.
What you have described in Example A is a _prediction_ interval for
an individual observation. Prediction intervals rarely get taught except
(maybe)
in th
>From my understanding, there are three popular ways to analyze the following design
>(let's call it the pretest-posttest control-group design):
R Pretest Treatment Posttest
R PretestControl Posttest
In the social sciences (e.g., see Pedhazur's popular regression text), the most
as a start, you could relate everyday examples where the notion of CI seems
to make sense
A. you observe a friend in terms of his/her lateness when planning to meet
you somewhere ... over time, you take 'samples' of late values ... in a
sense you have means ... and then you form a rubric like
Thanks for the formula, but I was really interested in knowing what % of a
standard deviation corresponds to E.
In other words does a .02 error translate into .02/1 standard deviations?
"Graeme Byrne" <[EMAIL PROTECTED]> wrote in message
9orn26$m80$[EMAIL PROTECTED]">news:9orn26$m80$[EMAIL PROT
re: the formula:
n = (Z?/e)2
could you express E as a % of a standard deviation .
In other words does a .02 error translate into .02/1 standard deviations,
assuming you are dealing w/a normal distribution?
=
Instr
Hi,
I've been teaching an introductory stats course for several years.
I always learn something from my students...hope they learn too.
One thing I've learned is that confidence intervals are very tough
for them. They can compute them, but why?
Of course, we talk about confidence interval constr
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Of course, if you have an interest in another area I will be glad to
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Dear Debater,
I've got two models which are nested (or hierarchical), and values
likelihood ratio chi-square (L^2) for them with degrees of freedom :
1 model: L^2 =21.93 , df=16
2 model: L^2=22.13 , df=18
I read that it' posible to settle which model is better (because they are
hierarchical).
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