Binomial Proportion Test

A Binomial Proportion Test is a statistical hypothesis test used to determine whether the observed proportion of successes in a sample significantly differs from a hypothesized proportion, under the assumption of a binomial distribution.

328

Publications

23.3K

Citations

1K

Authors

502

Institutions

Publications per year

2017–2026

76

Variants

Binomial Test

Authors

1K

  1. XZ
    Xiao‐Hua Zhou

    University of Washington, United States

    5 publications · 209 citations

    5

    h-index

  2. RG
    Robert G. Newcombe

    University of Wales, United Kingdom

    4 publications · 539 citations

    4

    h-index

  3. CG
    Charlotte Gaillard

    University of Bern, Switzerland

    3 publications · 210 citations

    3

    h-index

  4. GQ
    Gengsheng Qin

    Georgia State University, United States

    3 publications · 100 citations

    3

    h-index

  5. AM
    Antonio Martín Andrés

    Universidad de Granada, Spain

    3 publications · 40 citations

    3

    h-index

1–5 of 1K

Venues

  1. Statistics in Medicine

    15 publications · 1.5K citations

    14

    h-index

  2. Biometrics

    11 publications · 1.4K citations

    11

    h-index

  3. Journal of the American Statistical Association

    10 publications · 741 citations

    10

    h-index

  4. The American Statistician

    9 publications · 3.6K citations

    9

    h-index

  5. Journal of Statistical Planning and Inference

    8 publications · 181 citations

    8

    h-index

1–5