On the probability that a binomial variable is at most its expectation
Svante Janson

TL;DR
This paper investigates the probability that a binomial random variable is at most its expectation, confirming a conjecture for large sample sizes that the minimal probability occurs near a specific parameter value.
Contribution
It proves Chvátal's conjecture regarding the minimal probability for binomial variables at their expectation when the sample size is large.
Findings
The probability is minimized near m ≈ 2n/3 for large n.
The conjecture holds asymptotically as n grows large.
Provides insight into the behavior of binomial distributions at their expectation.
Abstract
Consider the probability that a binomial random variable Bi with integer expectation is at most its expectation. Chv\'atal conjectured that for any given , this probability is smallest when is the integer closest to . We show that this holds when is large.
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.
