Proper power computation for one-sided binomial tests.
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 population? Note that there is a 5 per cent chance to have 0 failures in 99 trials with p=.03.
In this case I am given the p=.03 as static value. So my goal is to compare the sample statistic against that. I am essentially checking the real population against an a-priori hypothesis of p=.03 or rather whatever we set it at (long story). Collin.