One-tailed Test

A One-Tailed Test is a statistical hypothesis test in which the critical region of the distribution is defined on only one side of the sampling distribution, reflecting a directional alternative hypothesis that specifies the effect is either greater than or less than a certain value, but not both.

283

Publications

14.4K

Citations

765

Authors

378

Institutions

Publications per year

2017–2026

48

Authors

765

  1. RH
    Ronald H. Randles

    University of Florida, United States

    4 publications · 246 citations

    4

    h-index

  2. HR
    Herman Rubin

    Purdue University West Lafayette, United States

    3 publications · 137 citations

    3

    h-index

  3. MN
    Markus Neuhäuser

    Koblenz University of Applied Sciences, Germany

    3 publications · 337 citations

    3

    h-index

  4. AK
    Akio Kudô

    Kagoshima University, Japan

    3 publications · 425 citations

    3

    h-index

  5. JD
    John D. Spurrier

    University of South Carolina, United States

    3 publications · 54 citations

    3

    h-index

1–5 of 765

Venues

  1. Journal of the American Statistical Association

    22 publications · 1.3K citations

    19

    h-index

  2. PubMed

    Repository · 13 publications · 542 citations

    13

    h-index

  3. Radiology

    6 publications · 796 citations

    6

    h-index

  4. Biometrika

    5 publications · 432 citations

    5

    h-index

  5. 5

    h-index

1–5