>
> Am 23.09.2008 um 23:57 schrieb Peter Dalgaard:
>
>> For this kind of problem I'd go directly for the binomial
>> distribution. If the actual probability is 0, this is essentially
>> deterministic and you can look at
>>
>> > binom.test(0,99,p=.03, alt="less")
>>
>
> > This means that you don't
Johannes Hüsing wrote:
Am 23.09.2008 um 23:57 schrieb Peter Dalgaard:
For this kind of problem I'd go directly for the binomial
distribution. If the actual probability is 0, this is essentially
deterministic and you can look at
> binom.test(0,99,p=.03, alt="less")
This means that you don
Am 23.09.2008 um 23:57 schrieb Peter Dalgaard:
> For this kind of problem I'd go directly for the binomial
> distribution. If the actual probability is 0, this is essentially
> deterministic and you can look at
>
> > binom.test(0,99,p=.03, alt="less")
>
> This means that you don't sample from the
Am 23.09.2008 um 23:57 schrieb Peter Dalgaard:
For this kind of problem I'd go directly for the binomial
distribution. If the actual probability is 0, this is essentially
deterministic and you can look at
> binom.test(0,99,p=.03, alt="less")
This means that you don't sample from the p=.03
Thank you Peter. That is incredibly helpfyul, and much much smaller!
Best,
Collin.
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Collin Lynch wrote:
Hi, I trying to determine the best way to compute the power for a
one-sample one-sided binomial test. Specifically I need to sample a
population of individuals and ask whether a sample rate of 0% is
compatable with a minimum threshold of 3% and how many samples are needed.
I
Hi, I trying to determine the best way to compute the power for a
one-sample one-sided binomial test. Specifically I need to sample a
population of individuals and ask whether a sample rate of 0% is
compatable with a minimum threshold of 3% and how many samples are needed.
I have made use of powe
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