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
>
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