The Probability Distribution for Draws Until First Success Without Replacement
John Ahlgren

TL;DR
This paper analyzes the distribution of the number of draws without replacement until a good object is selected, computing its variance and demonstrating convergence to the geometric distribution.
Contribution
It provides a detailed analysis of the distribution's variance and proves its convergence to the geometric distribution, extending standard textbook exercises.
Findings
Variance of the distribution is explicitly computed.
Distribution converges to the geometric distribution.
Provides theoretical insights into the urn problem.
Abstract
We consider the urn setting with two different objects, ``good'' and ``bad'', and analyze the number of draws without replacement until a good object is picked. Although the expected number of draws for this setting is a standard textbook exercise, we compute the variance, and show that this distribution converges to the geometric distribution.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSoil Geostatistics and Mapping · Remote Sensing and LiDAR Applications · Forest ecology and management
