title: Hypothesis testing.
abstract: 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.
authors.affiliation: School of Nursing and Midwifery, Curtin Health Innovation Research Institute, Curtin University of Technology, Western Australia, Australia. s.pereira@ecu.edu.au
authors.forename: Sandra M C
authors.initials: SM
authors.lastname: Pereira
authors.forename: Gavin
authors.initials: G
authors.lastname: Leslie
mesh_terms: D035843:Biomedical Research; D003661:Decision Support Techniques; D006801:Humans; D013223:Statistics as Topic