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  3. 2023 - Volume 17 [Issue 1]
  4. Opinion Article

Chi-square Test and Its Utility in Forest Ecology Studies

  •  M. Sridhar Reddy

Journal of Global Ecology and Environment, Page 1-5
DOI: 10.56557/jogee/2023/v17i18020
Published: 10 January 2023

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Abstract


In forest ecological studies, the data are often collected as nominal variables which can be summarized as frequency data. For this kind of nominal data, the chi-square test statistic can be used to evaluate whether the study groups are independent or not in their occurrence. This frequency data are arranged in a 2 x 2 table or with more rows and columns tabular format to undertake Chi-square test. Frequency or counts data of exclusive categories are used to test their independence/association by testing their proportion of occurrence in the rows and columns of the Chi-square table. The article includes the details on the data that can be used under Chi-square test through case studies, assumptions associated with the test, how the test and associated p-value can be achieved by simple manual calculation without any statistical program.


Keywords:
  • Ecological studies
  • environmental gradients
  • phenological patterns
  • interpretation
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How to Cite

Reddy, M. S. (2023). Chi-square Test and Its Utility in Forest Ecology Studies. Journal of Global Ecology and Environment, 17(1), 1-5. https://doi.org/10.56557/jogee/2023/v17i18020
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References

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