Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-12-01T01:13:41.056Z Has data issue: false hasContentIssue false

On the probability in the tail of a binomial distribution

Published online by Cambridge University Press:  01 July 2016

J. E. Littlewood*
Affiliation:
Trinity College, Cambridge

Extract

Suppose that, e.g., in a guessing experiment, the chance of a ‘hit’ at each ‘attempt’ is the constant p, 0 < p < 1. Let q = 1 - p. In a large number n of attempts the ‘average’ number of hits is pn. Let m = (1 + k)pn.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Cramér, H. (1938) Act. Sci. Indust. No. 736.Google Scholar
[2] Bahudur, R. R. and Rao, R. R. (1960) Ann. Math. Statist. 31, 10151120.Google Scholar