SAGE Reference - Encyclopedia of Measurement and Statistics

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Type I Error

In: Encyclopedia of Measurement and Statistics
Edited by: Neil J. Salkind
Subject:Test & Measurement, Quantitative/Statistical Research

Statistical significance is the degree of risk that a null hypothesis will be rejected when it is actually true. This level of risk is also known as a Type I error. Traditionally, the null (a statement ...

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  Salkind, N. J. (2007). Type i error. In Encyclopedia of measurement and statistics (Vol. 1, pp. 1019-1020). SAGE Publications, Inc., https://dx.doi.org/10.4135/9781412952644.n466
  
  Salkind, Neil J. "Type I Error." In Encyclopedia of Measurement and Statistics, edited by Salkind, Neil J., 1019-20. Thousand Oaks, CA: SAGE Publications, Inc., 2007. https://dx.doi.org/10.4135/9781412952644.n466.
  
  Salkind, N. J. 2007. Type I Error. In: Neil J. Salkind Editor, 2007. Encyclopedia of Measurement and Statistics, Thousand Oaks, CA: SAGE Publications, Inc. pp. 1019-1020 Available at: <https://dx.doi.org/10.4135/9781412952644.n466> [Accessed 24 May 2022].
  
  Salkind, Neil J. "Type I Error." Encyclopedia of Measurement and Statistics. Edited by Vol. 1. Thousand Oaks: SAGE Publications, Inc., 2007, pp. 1019-20. SAGE Knowledge. 24 May 2022, doi: https://dx.doi.org/10.4135/9781412952644.n466.
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