M

I'm hoping this is an easy answer and I'm glad I can operate under anonymity to ask it!

I have a set of data which is a subset of a population. I'll be literal just in case it helps.

The subset of data is a subset of manufacturing orders.

Within this subset there are some orders which have transactional activity/records AFTER the order was received into stock. The reason for this is usually some administrative workaround that I am trying to understand in more detail.

To start, I'd like to know an approximation of how many orders have this particular condition. The easiest way for me to achieve this is to do some random sampling. Grab an individual PO, and check to see if there were additional transactions after physical receipt.

So, I'm looking for a formula! For example, if I had a subset of 1000 POs, how many would I have to randomly sample and check to have a 90% confidence that X% of the sample has condition(extra transactions)=True?

Thanks very much for your help on this!

-Mike