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    Testing differences between two samples of continuous data

    Access Status
    Fulltext not available
    Authors
    Pereira, Sandra
    Leslie, Gavin
    Date
    2010
    Type
    Journal Article
    
    Metadata
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    Citation
    Pereira, Sandra and Leslie, Gavin. 2010. Testing differences between two samples of continuous data. Australian Critical Care. 23 (3): pp. 160-166.
    Source Title
    Australian Critical Care
    DOI
    10.1016/j.aucc.2010.06.002
    ISSN
    1036-7314
    School
    School of Nursing and Midwifery
    Remarks

    The link to the journal’s home page is: http://www.elsevier.com/wps/find/journaldescription.cws_home/710660/description#description. Copyright © 2010 Elsevier B.V. All rights reserved

    URI
    http://hdl.handle.net/20.500.11937/24803
    Collection
    • Curtin Research Publications
    Abstract

    Summary: In this article the circumstances and techniques used to test a hypothesis by comparing information from two random samples to identify possible or existing difference amongst the target population are presented. This is based on continuous data collected from two samples after which a comparison can be made that may then be generalised to the source population. The terminology of the method is briefly explained including basic concepts such as survey errors and probablistic chance. Hypothesis test methods are described for two types of samples: independent and dependent, and examples of some of the most commonly use test in health research are given for parametric and non-parametric source distributions. Testing difference between two samples of continuous data is an important and frequently applied process of making a decision about the main differences in a population of interest in health research.

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