Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Statistical tests (Part 3): Non-parametric tests

J Oldham

    Nursing Standard (Royal College of Nursing (Great Britain) : 1987)
    |July 3, 1993
    PubMed
    Summary
    This summary is machine-generated.

    This article explores non-parametric statistical analysis, building on previous discussions of descriptive and parametric methods. It also briefly covers dimension reduction, factor analysis, and confidence limits for comprehensive statistical understanding.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Placing the keystone: the LIMBIC Military and Tactical Athlete Research Study.

    Brain injury·2024
    Same author

    Experience and perception of face-to-face vs. remote consultations: a patient survey across two UK dermatology centres.

    Clinical and experimental dermatology·2020
    Same author

    The systemic autoinflammatory disorders for dermatologists. Part 1: overview.

    Clinical and experimental dermatology·2020
    Same author

    The systemic autoinflammatory disorders for dermatologists. Part 2: disease examples.

    Clinical and experimental dermatology·2020
    Same author

    Cyclicity, estrus expression and pregnancy rates in beef heifers with different reproductive tract scores following progesterone supplementation.

    Theriogenology·2020
    Same author

    Novel circulating placental markers prokineticin-1, soluble fms-like tyrosine kinase-1, soluble endoglin and placental growth factor and association with late miscarriage.

    Human reproduction (Oxford, England)·2016
    Same journal

    Effect of artificial intelligence on nursing documentation and patient safety.

    Nursing standard (Royal College of Nursing (Great Britain) : 1987)·2026
    Same journal

    Strategies for responding to anger from patients, relatives and carers.

    Nursing standard (Royal College of Nursing (Great Britain) : 1987)·2026
    Same journal

    Nurses' role in detecting early and subtle signs of patient deterioration in acute hospitals.

    Nursing standard (Royal College of Nursing (Great Britain) : 1987)·2026
    Same journal

    Pulse oximetry: exploring its role, limitations and challenges in clinical practice.

    Nursing standard (Royal College of Nursing (Great Britain) : 1987)·2026
    Same journal

    Anorexia nervosa: identification and management by non-specialist nurses.

    Nursing standard (Royal College of Nursing (Great Britain) : 1987)·2026
    Same journal

    Skin and soft tissue abscesses: assessment and management.

    Nursing standard (Royal College of Nursing (Great Britain) : 1987)·2026
    See all related articles

    Area of Science:

    • Statistics
    • Data Analysis

    Background:

    • This article follows previous installments on descriptive and parametric statistical analysis.
    • It addresses the need for a comprehensive overview of statistical methodologies.

    Purpose of the Study:

    • To detail the non-parametric approach to statistical analysis.
    • To introduce concepts of dimension reduction, factor analysis, and confidence limits.

    Main Methods:

    • Focus on non-parametric statistical methods.
    • Briefly discusses dimension reduction techniques.
    • Explores factor analysis principles.
    • Covers the concept of confidence limits.

    Main Results:

    • Provides an in-depth look at non-parametric statistical analysis.

    Related Experiment Videos

  • Summarizes key aspects of dimension reduction and factor analysis.
  • Explains the importance of confidence limits in statistical inference.

    • Conclusions:

    • Non-parametric methods offer a vital alternative/complement to parametric approaches.
    • Understanding dimension reduction, factor analysis, and confidence limits enhances statistical interpretation.