PM
To: r-help@r-project.org
Subject: [R] Two-tailed exact binomial test with binom.test and sum(dbinom(...))
Hi R experts,
I have a few related questions that are actually a combination of an R
and a hopefully not too trivial (?) statistics question, namely
regarding the computation of an exact two-t
> On 14 Dec 2014, at 13:54 , Stefan Evert wrote:
>
>
>> (3) What is people's view on computing the two-tailed test like this,
>> which leads to an ns result unlike binom.test?
>> 2*sum(dbinom(51:235, 235, 1/6)) # 0.05308849
>
> This is a popular approximation (which I also use most of the tim
If your null hypothesis is that the probability of a success is 0.6, i.e. H0:
p=0.6, then those
> (a) Let's also assume we have an H1 that there are more than 6
> successes
>
> (b) Now let's assume we have an H1 that there are fewer than 6
> successes
>
> (1). My understanding would be that, i
Hi R experts,
I have a few related questions that are actually a combination of an R
and a hopefully not too trivial (?) statistics question, namely
regarding the computation of an exact two-tailed binomial test.
Let's assume the following scenario:
- number of trials = 10
- p of success = 0.6
4 matches
Mail list logo