I suppose like you say that when you
factor in stratification and clustering, it isn't such a no brainer as in my
example.
Thank you again for enlightening me.
"Donald Burrill" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
&g
It is simply amazing to me that you can do a random sample of 4,147 people
out of 50 million and get a valid answer. What is the reason for taking
mulitple samples of the same n - to achieve more accuracy? Is there a rule
of thumb on how many repetitions of the same sample you would take?
"Jo
oughts given my clarification, I would
welcome your insights.
"Donald Burrill" <[EMAIL PROTECTED]> wrote in message
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> On Fri, 28 Sep 2001, John Jackson wrote in part:
>
> > My formula is a rearrangement of the confidence in
Great explanation
"dennis roberts" <[EMAIL PROTECTED]> wrote in message
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> At 02:16 AM 9/29/01 +, John Jackson wrote:
>
> >For any random inverval selected, there is a .05% probability that the
> >sam
How do describe the data that does not reside in the area
described by the confidence interval?
For example, you have a two tailed situation, with a left tail of .1, a
middle of .8 and a right tail of .1, the confidence interval for the middle
is 90%.
Is it correct to say with respect to a value
f mu with our sample mean the
> population standard deviation or sigma were 15?
>
>n = ((1.96 * 5) / 3)^2 = about 11 ...
>
> only would take a SRS of about 11 to be within 3 points of the true mu
> value in your 95% confidence interval
>
> unless i made a
s, ie. 300 m or can
you solve it another way. It was suggested you can express the SD as a
fraction of the E. ie. E = SD/2.
"Randy Poe" <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> John Jackson wrote:
>
> > the forumla I was
I am interested in how to describe the data that does not reside in the area
described by the confidence interval.
For example, you have a two tailed situation, with a left tail of .1, a
middle of .8 and a right tail of .1, the confidence interval for the middle
is 90%.
Is it correct to say with
This is a better example than the apples (I hope). This time is their is a
n=x provided.
"Jay Warner" <[EMAIL PROTECTED]> wrote in message
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> "@Home" wrote:
>
> > I have estimation of mean / confidence level problem with very litte
data
> > to go on
this is the second time I have seen this word used: "frequentist"? What does
it mean?
"Radford Neal" <[EMAIL PROTECTED]> wrote in message
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> In article <[EMAIL PROTECTED]>,
> Dennis Roberts <[EMAIL PROTECTED]> wrote:
>
> >as a start, you could relate e
2 and attempting to express .05 as a
fraction of a std dev.
"Glen Barnett" <[EMAIL PROTECTED]> wrote in message
9oug3c$su1$[EMAIL PROTECTED]">news:9oug3c$su1$[EMAIL PROTECTED]...
>
> John Jackson <[EMAIL PROTECTED]> wrote in message
> MGns7.49824$[EMAIL PR
Thanks for the formula, but I was really interested in knowing what % of a
standard deviation corresponds to E.
In other words does a .02 error translate into .02/1 standard deviations?
"Graeme Byrne" <[EMAIL PROTECTED]> wrote in message
9orn26$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
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