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An elementary analysis of the probability that a binomial random variable exceeds its expectation

Benjamin Doerr

Statistics & Probability Letters, 2018, vol. 139, issue C, 67-74

Abstract: We give an elementary proof of the fact that a binomial random variable X with parameters n and 0.29∕n≤p<1 with probability at least 1∕4 strictly exceeds its expectation. We also show that for 1∕n≤p<1−1∕n, X exceeds its expectation by more than one with probability at least 0.0370. Both probabilities approach 1∕2 when np and n(1−p) tend to infinity.

Keywords: Lower bounds; Binomial tail (search for similar items in EconPapers)
Date: 2018
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