Milton Cezar Ribeiro wrote: > Hi there, > > I´m trying to follow the reading of the book "The Nature of Scientific > Evidence" (by Mark Taper and Subhash Lele) using R. I would like to preparar > R scritps from the exercises of this book available to world wide community. > To do so, I will need some help of our R-helpers; > > On this book, the author proposed we use Fisher´s p-value tests for a pig > sex rate = 0.5 from observed male=7929 and female 8304 (total = 16233). The > authors sad "Under the assumed binomial distribution, the probability of > observing 7929 male is .0000823; any observation with fewer than 7929 or more > than 8303 males will have a probability less than or equal to .00008233 and > thus be considered an extreme event". > > They also sad "Summing the probability of all extreme events, we find that > probability of observing an event as extrem as or more extreme than the > observed 7929 males is 0.003331". > > How can a reach up these same p-values? > dbinom, pbinom, binom.test
(This is an exact test in the binomial distribution, not what is commonly known as Fisher's exact test, which is for independence in a 2x2 table.) > > Kind regards, > > Miltinho > Brazil > > __________________________________________________ > > > [[alternative HTML version deleted]] > > > ------------------------------------------------------------------------ > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > ______________________________________________ R-help@stat.math.ethz.ch 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.
