Hi, I'm stuck in a real problem, it's not a home work question. My probability calculation background is unfortunately not strong.
We have an universe of 30.000 item types.
And we have samples with 500 unique random items.
How many such samples should we collect so that all together we get 99% of those 30.000 item types? It's a number for sure above 60.
This number will be used in my current plan phase, to estimate efforts.
Also, how we could refine the calculus if we consider that item pick up is not flatly random, but has a uniform distribution with weights between 1 and 2? This consideration will certainly increase the number of necessary samples, but how much?
Thank you in advance.
We have an universe of 30.000 item types.
And we have samples with 500 unique random items.
How many such samples should we collect so that all together we get 99% of those 30.000 item types? It's a number for sure above 60.
This number will be used in my current plan phase, to estimate efforts.
Also, how we could refine the calculus if we consider that item pick up is not flatly random, but has a uniform distribution with weights between 1 and 2? This consideration will certainly increase the number of necessary samples, but how much?
Thank you in advance.