Sample size calculation for Binary Data

Euh Max,
I expect that all your managers will have moved to a new job before you have enough data with only 4 data/year.
Forget this approach and put all your effort into finding a way to get data more often (and of the contiuous type). The good news is that you have at least 3 months before the next datapoint makes your question a little bit more urgent.
By the way: you cannot calculate sample size if there is no variation. So you have choose how many zero’s there have to be behind the percentage decimal point.
Remi

I believe what Max is looking for is, given that data are collected once per quarter, how large should each quarterly sample be?  There is no one right answer, since it depends on how large each production run is, what the cost is of sampling and inspection is, what the cost of a production run failing inspection is, and a host of other factors.  Ball bearings are different than automotive air bags are different than hip prosthetics.
I would agree that once per quarter is insufficient if the sample is only drawn from a single day’s production during the quarter.
I disagree with remi that you need continuous data, since the inspection results in only a pass/fail binary (i.e., binomial, not continuous, data) result.