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Chi-square test for imprecise data in consistency table
1. Introduction In statistical analysis, the chi-square -test for consistency, also known as the chi-square test, is a commonly used method to determine if there is a significant association between two categorical variables in a 2 × 2 contingency table. This test allows researchers to assess whether the observed frequencies in the table deviate significantly from what would be expected under the assumption of independence between the variables.
Spatiotemporal Distribution Patterns of Pest Species (Lepidoptera: Noctuidae) Affected by Meteorological Factors in an Agroecosystem
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Zafar Hussain 1, Zahid Mahmood Sarwar 1, Atif Akbar 2, Sadeq K. Alhag 3,4, Nazeer Ahmed 5,*, Pravej Alam 6, Abdulrahman A.
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