Hey, John

I like the explicit formula they put in there.  I looked around last night
and found this
http://www.stat.yale.edu/Courses/1997-98/101/binom.htm

which is basically normal approximation to the binomial, I thought that was
what the author was trying to get at?

Colin

On Sun, Nov 20, 2011 at 8:49 AM, John Kane <jrkrideau@yahoo.ca> wrote:

> Hi Colin,
>
> I'm no statistician and it's been a very long time but IIRC a t-test is a
> 'modified version of a x-test that is used on small sample sizes.  (I can
> hear some of our statistians screaming in the background as I type.)
>
> In any case I thing a Z distribution is descrete and a standard normal is
> not so a user can use Yates continuity correction to interpolate values for
> the normal between the discrete z-values.  Or something like this.
>
> I have only encountered it once in a Psych stats course taught by an
> animal geneticist who seemed to think it was important. To be honest, it
> looked pretty trivial for the type of data I'd be likely to see.
>
> I cannot remember ever seeing a continuity correction used in a published
> paper--for that matter I have trouble remembering a z-test.
>
> If you want more information on the subject I found a very tiny bit of
> info at
> http://books.google.ca/books?id=SiJ2UB3dv9UC&pg=PA139&lpg=PA139&dq=z-test+with+continuity+correction&source=bl&ots=0vMTCUZWXx&sig=bfCPx0vynGjA0tHLRAf6B42x0mM&hl=en&ei=nQHJTo7LPIrf0gHxs6Aq&sa=X&oi=book_result&ct=result&resnum=2&ved=0CC0Q6AEwAQ#v=onepage&q=z-test%20with%20continuity%20correction&f=false
>
> A print source that, IIRC, has a discussion of this is "Hayes, W. (1981.
> Statistics. 3rd Ed., Holt Rinehart and Winston
>
> Have fun
>
> --- On Sat, 11/19/11, Colstat <colstat@gmail.com> wrote:
>
> > From: Colstat <colstat@gmail.com>
> > Subject: [R] Data analysis: normal approximation for binomial
> > To: r-help@r-project.org
> > Received: Saturday, November 19, 2011, 6:01 PM
> > Dear R experts,
> >
> > I am trying to analyze data from an article, the data looks
> > like this
> >
> > Patient Age Sex Aura preCSM preFreq preIntensity postFreq
> > postIntensity
> > postOutcome
> > 1 47 F A 4 6 9 2 8 SD
> > 2 40 F A/N 5 8 9 0 0 E
> > 3 49 M N 5 8 9 2 6 SD
> > 4 40 F A 5 3 10 0 0 E
> > 5 42 F N 5 4 9 0 0 E
> > 6 35 F N 5 8 9 12 7 NR
> > 7 38 F A 5 NA 10 2 9 SD
> > 8 44 M A 4 4 10 0 0 E
> > 9 47 M A 4 5 8 2 7 SD
> > 10 53 F A 5 3 10 0 0 E
> > 11 41 F N 5 6 7 0 0 E
> > 12 49 F A 4 6 8 0 0 E
> > 13 48 F A 5 4 8 0 0 E
> > 14 63 M N 4 6 9 15 9 NR
> > 15 58 M N 5 9 7 2 8 SD
> > 16 53 F A 4 3 9 0 0 E
> > 17 47 F N 5 4 8 1 4 SD
> > 18 34 F A NA  5 9 0 0 E
> > 19 53 F N 5 4 9 5 7 NR
> > 20 45 F N 5 5 8 5 4 SD
> > 21 30 F A 5 3 8 0 0 E
> > 22 29 F A 4 5 9 0 0 E
> > 23 49 F N 5 9 10 0 0 E
> > 24 24 F A 5 5 9 0 0 E
> > 25 63 F N 4 19 7 10 7 NR
> > 26 62 F A 5 8 9 11 9 NR
> > 27 44 F A 5 3 10 0 0 E
> > 28 38 F N 4 8 10 1 3 SD
> > 29 38 F N 5 3 10 0 0 E
> >
> > How do I do a binomial distribution z statistics with
> > continuity
> > correction? basically normal approximation.
> > Could anyone give me some suggestions what I (or R) can do
> > with these data?
> > I have tried tried histogram, maybe t-test? or even
> > lattice?  what else can
> > I(or can R) do?
> > help please, thanks so much.
> >
> >     [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org
> > mailing list
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> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained,
> > reproducible code.
> >
>

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