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 <jrkrid...@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 <cols...@gmail.com> wrote: > > > From: Colstat <cols...@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 > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, > > reproducible code. > > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
