p HAVE DISTIBUTION BAYESIAN COMO FUNCTION BETA NO NECESARY NORMAL
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21, 2000 5:28 PM
To: Dale Berger
Cc: [EMAIL PROTECTED]; [EMAIL PROTECTED]
Subject: Re: Rates and proportions
On Tue, 20 Jun 2000, Dale Berger wrote:
> If we observe one escape out of 1250 inmates, why can't we reliably
> rule out zero as the population escape rate?
Beca
- Forwarded message from Robert Dawson -
Again, a confidence interval may be useful (if not optimal) while
including values that are obviously absurd. Examples are:
the Z interval for proportion, in cases where the confidence level is
greater than 98% and the np>=5 criterion is
> On Wed, 21 Jun 2000, Dale Berger wrote:
>
> > Yet, p=0 is a special case where an outcome is impossible. A
> > reasonable confidence interval for p should not include zero if the
> > outcome has been observed in a sample. Not so?
and Donald Burrill replied:
> I am unable to reconcile this
On Wed, 21 Jun 2000, Dale Berger wrote:
> Yet, p=0 is a special case where an outcome is impossible. A
> reasonable confidence interval for p should not include zero if the
> outcome has been observed in a sample. Not so?
I am unable to reconcile this assertion with the fact that the only
v
CTED]>
Cc: <[EMAIL PROTECTED]>; <[EMAIL PROTECTED]>
Sent: Wednesday, June 21, 2000 12:27 AM
Subject: Re: Rates and proportions
> On Tue, 20 Jun 2000, Dale Berger wrote:
>
> > If we observe one escape out of 1250 inmates, why can't we reliably
> > rule out zero a
On Tue, 20 Jun 2000, Dale Berger wrote:
> If we observe one escape out of 1250 inmates, why can't we reliably
> rule out zero as the population escape rate?
Because k = 1 (for n = 1250) is not significantly different from k = 0.
> The normal approximation to the binomial may not be appropria
One might also ask what is meant by the 'population escape rate' in this
context. Is the data not population data?
Alan
Dale Berger wrote:
>
> Hi Don et al.,
>
> If we observe one escape out of 1250 inmates, why can't we reliably rule out
> zero as the population escape rate? The normal appro
treet
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- Original Message -
From: Donald Burrill <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Cc: <[EMAIL PROTECTED]>
Sent: Tuesday, June 20, 2000 2:49 PM
Subject: Re: Rates
On Tue, 20 Jun 2000 [EMAIL PROTECTED] wrote:
> Hello, I "inherited" the reporting system for our escapes and have some
> questions about how data has been reported in the past.
>
> First, I have a question about the formula used to calculate escape
> rates which is (escapes)/(average daily popu
>Reword these as per 10,000? That way you have "whole people" while
>preserving the differences among the rates.
this might ease the problem but, does not eliminate it (though makes more
sense than a base of 100) ... for, what if the value comes out to be ...
.04423? i guess it depends on how ma
At 12:55 PM -0400 6/20/00, dennis roberts wrote:
>At 11:10 AM 6/20/00 -0500, [EMAIL PROTECTED] wrote:
>>Then I also have a rule of thumb question. At what point is a rate
>>considered unreliable or a useless piece of information? My example again
>>and remember that it uses the "formula" I first
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for <[EMAIL PROTECTED]>; Tue, 20 Jun 2000 11:11:29 -0500
Reply-To: <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Subject: Rates and proportions
Date: Tue, 20 Jun 2000 11:10:00 -0500
Message-ID:
At 11:10 AM 6/20/00 -0500, [EMAIL PROTECTED] wrote:
>Then I also have a rule of thumb question. At what point is a rate
>considered unreliable or a useless piece of information? My example again
>and remember that it uses the "formula" I first presented above. The
>previous reports show rates o
Hello, I "inherited" the reporting system for our escapes and have some
questions about how data has been reported in the past.
First, I have a question about the formula used to calculate escape rates
which is (escapes)/(average daily population - escapes). Then this is
reported as a rate per 1
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