I am looking to an algorithm to compute the tolerance factors used in
constructing normal tolerance limits. I have the article 'Tables of
Tolerance-Limit Factors for Normal Distributions' Alfred Weissberg and
Glenn H Beatty 1960. This contains tables of r(N,P) and u(f,y)
multiplying these together
On Thu, 30 Mar 2000, JohnPeters wrote:
> Hi,
> I was wondering if someone could help me. I am interested in combining
> 2x2 tables from multiple studies. The test used is the McNemar's
> chi-sq. I have the raw data from each of these studies. What is the
> proper correction that should be use
Here is a somewhat DIY approach. Comments?
In article <[EMAIL PROTECTED]>, Bob Parks
<[EMAIL PROTECTED]> writes
>Consider the following problem (which has a real world
>problem behind it)
>
>You have 100 coins, each of which has a different
>probability of heads (assume that you know that
>probab
I am looking to an algorithm to compute the tolerance factors used in
constructing normal tolerance limits. I have the article 'Tables of
Tolerance-Limit Factors for Normal Distributions' Alfred Weissberg and
Glenn H Beatty 1960. This contains tables of r(N,P) and u(f,y)
multiplying these together
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On Thu, 30 Mar 2000 11:22:32 -0500, JohnPeters <[EMAIL PROTECTED]>
wrote:
> I was wondering if someone could help me. I am interested in combining
> 2x2 tables from multiple studies. The test used is the McNemar's
> chi-sq. I have the raw data from each of these studies. What is the
> proper
- I can address a couple of concrete points -
On Sat, 25 Mar 2000 15:22:43 GMT, Gene Gallagher
<[EMAIL PROTECTED]> wrote:
< snip >
> The real problem that we often see is a dataset composed of lots of zeros
> with a few positive values. From the literature, especially Hollander &
> Wolfe, I
- Original Message -
From: Bob Parks <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Thursday, March 30, 2000 6:44 AM
Subject: testing a coin flipper
> Consider the following problem (which has a real world
> problem behind it)
>
> You have 100 coins, each of which has a different
> p
On 31 Mar 2000 06:41:38 GMT, [EMAIL PROTECTED] (Victor Aina) wrote:
>I've got 2 non-overlapping periods. Data is
>available for period one (the first period).
>The intention is to predict observations that
>will be coming in period 2.
>
>Now, suppose an extra information is available for
>period 2
In article <8c0ctq$kol$[EMAIL PROTECTED]>,
CD Madewell <[EMAIL PROTECTED]> wrote:
>I wonder if the writer of the original question really wanted a
>thesis or just a simple answer in how to look at a data set and decide
>which of the two test (he mentioned) to use. If he wanted a discussion
>on w
I need ideas about undergraduate honors projects in
statistics - what is the practice at various
colleges/universities, what should the empahsis be etc.
Thanks.
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