Hypothesis testing.

This article presents a statistical approach called hypothesis testing. This is based upon information collected from a random sample following which results are generalised for the entire population. Some general concepts and terminology of the methodology are briefly described including statistica...

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Publicado en:Australian Critical Care Vol. 22; no. 4; pp. 187 - 192
Autores principales: Pereira SMC, Leslie G
Formato: tables/charts Journal Article
Publicado: Elsevier B.V. 2009
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Hypothesis testing.
      aug:
        au:
          Pereira SMC
          Leslie G
        affil: School of Nursing and Midwifery, Curtin Health Innovation Research Institute, Curtin University of Technology, Perth, Western Australia 6102, Australia
      sug:
        subj:
          Hypothesis Evaluation
          Alternative Hypothesis
          Null Hypothesis
          One-Tailed Test
          T-Tests
          Two-Tailed Test
          Type I Error
          Type II Error
          Western Australia
      ab: This article presents a statistical approach called hypothesis testing. This is based upon information collected from a random sample following which results are generalised for the entire population. Some general concepts and terminology of the methodology are briefly described including statistical hypotheses, types of errors, one- or two-tailed tests and an example of an application is given. Hypothesis testing is a fundamental process in making a decision about populations of interest in research.
      pubtype: Academic Journal
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        tables/charts
        Journal Article
      ougenre: Article
    language: English
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