As a non-statistician, I have a real world statistical/probability problem that I'm having trouble framing. The software I rely on in inventory management interprets the 'movements' (number of times inventory is used) in a strange way. It offers the number of months, out of 24 months, that the item has been used. For example, a moving code of 20 means that the item was used at least once for 20 out of 24 months..
What I need to be able to do is translate that to find the most probable number of movements over that 24 month period.
If movements randomly fall into 20 out of 24 months with no limitations, obviously the number of movements that really occur is likely to be much greater than 20. How much greater?
Sorry, this question is extra challenging because I have no ideas on how to begin tackling this. Any help is much appreciated.