The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Binomial Confidence Intervals
Abstract
For X with Binomial (n, p) distribution, Section 1 gives a one-page table of .95 and .99 confidence intervals for p, for n = 1, 2, …, 30. This interval is equivariant under X → n − X and p → 1 − p, has approximately equal probability tails, is approximately unbiased, has Crow's property of minimizing the sum of the n + 1 possible lengths, and each of its ends is increasing in X and decreasing in n with about as regular steps as possible. Sections 2 and 3 consider the usual approximate confidence intervals. Calculations and asymptotic results show the need for the continuity correction in these even when n is large. Because of the nonuniformity of the Binomial → Normal convergence as p → 0, these intervals fail to have their stated asymptotic confidence coefficients; simple corrections are given for this. In the approximate interval (X/n) ± {(c/√n)√[(X/n)(1 − X/n)] + 1/(2n)} it is shown that the factor (c/√n) should be replaced by c/√ (n − c 2 − 2c/√n − 1/n).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
SNEDECOR, G. W. (1939) · Soil Science · doi:10.1097/00010694-193902000-00006 · Cited by 19,359
Snedecor, G. W., & Cochran, W. G. (1967) · Cited by 6,573
Journal of The American Statistical Association
Fienberg, S. E. (2005) · Encyclopedia of Statistical Sciences · doi:10.1002/0471667196.ess1317 · Cited by 6,125
Testing Statistical Hypotheses
(2021) · Wiley Series in Probability and Statistics · doi:10.1002/9781119243830.ch12 · Cited by 5,106
THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL
CLOPPER, C. J., & PEARSON, E. S. (1934) · Biometrika · doi:10.1093/biomet/26.4.404 · Cited by 5,003
Statistical Tables for Biological, Agricultural and Medical Research.
Reed, L. J., Fisher, R. A., & Yates, F. (1944) · Journal of the American Statistical Association · doi:10.2307/2280633 · Cited by 2,998
Mathematical Statistics: Basic Ideas and Selected Topics.
Wachter, K. W., Bickel, P. J., & Doksum, K. A. (1979) · Journal of the American Statistical Association · doi:10.2307/2286373 · Cited by 1,886
Statistical Theory with Engineering Applications
Hald, A., & Friedman, B. (1953) · Physics Today · doi:10.1063/1.3061079 · Cited by 1,529
Testing Statistical Hypotheses.
Stuart, A., & Lehmann, E. L. (1960) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2342657 · Cited by 616
S., G. W. (1939) · Agronomy Journal · doi:10.2134/agronj1939.00021962003100020011x · Cited by 321
Cited by
Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions
Agresti, A., & Coull, B. A. (1998) · The American Statistician · doi:10.1080/00031305.1998.10480550 · Cited by 3,223
Statistical Methods for Environmental Pollution Monitoring.
Lambert, D., & Gilbert, R. O. (1988) · Journal of the American Statistical Association · doi:10.2307/2290180 · Cited by 2,066
Elements of Large-Sample Theory
Strawderman, W. E., Lehmann, E. L., & Holmes, S. P. (2012) · Selected Works of E. L. Lehmann · doi:10.1007/978-1-4614-1412-4_97 · Cited by 818
Suicide Risk in Bipolar Disorder During Treatment With Lithium and Divalproex
Goodwin, F. K. (2003) · JAMA · doi:10.1001/jama.290.11.1467 · Cited by 531
Confidence intervals for a binomial proportion
Vollset, S. E. (1993) · Statistics in Medicine · doi:10.1002/sim.4780120902 · Cited by 477
Metadata
- Authors
- Blyth, C. R., & Still, H. A.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1983-03
- Volume
- 78
- Issue
- 381
- Pages
- 108-116
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2144661279
- Cited by
- 434
- References
- 16
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Binomial Confidence Intervals. https://app.cochat.ai/papers/10.1080/01621459.1983.10477938
- The paper
- Blyth, C. R., & Still, H. A. (1983). Binomial Confidence Intervals. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1983.10477938
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.