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Chi-Square Test for Independence

In: Encyclopedia of Measurement and Statistics
Edited by: Neil J. Salkind

The chi-square test for independence is a significance test of the relationship between categorical variables. This test is sometimes known as the “Pearson's chi-square” in honor of its developer, ...

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  Salkind, N. J. (2007). Chi-square test for independence. In Encyclopedia of measurement and statistics (pp. 136-138). Sage Publications, Inc., https://dx.doi.org/10.4135/9781412952644.n79
  
  Salkind, Neil J. "Chi-Square Test for Independence." In Encyclopedia of Measurement and Statistics, edited by Salkind, Neil J., 136-38. Thousand Oaks, CA: Sage Publications, Inc., 2007. https://dx.doi.org/10.4135/9781412952644.n79.
  
  Salkind, N. J. 2007. Chi-Square Test for Independence. In: Neil J. Salkind Editor, 2007. Encyclopedia of Measurement and Statistics, Thousand Oaks, CA: Sage Publications, Inc. pp. 136-138 Available at: <https://dx.doi.org/10.4135/9781412952644.n79> [Accessed 30 Jun 2022].
  
  Salkind, Neil J. "Chi-Square Test for Independence." Encyclopedia of Measurement and Statistics. Edited by Thousand Oaks: Sage Publications, Inc., 2007, pp. 136-38. SAGE Research Methods. 30 Jun 2022, doi: https://dx.doi.org/10.4135/9781412952644.n79.
  
  Salkind, Neil J. (2007). Chi-square test for independence In:Chi-square test for independence Encyclopedia of measurement and statistics Thousand Oaks, CA: Sage Publications, Inc.; 2007:136-138. doi:10.4135/9781412952644.n79
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