Chi-Squared Goodness of Fit Tests With Applications 2013
DOI: 10.1016/b978-0-12-397194-4.00007-7
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Applications of Modified Chi-Squared Tests

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Cited by 2 publications
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“…To do this, we first analyzed whether the sample data fit a certain distribution; that is, if the data were proportionally distributed in the lateral execution of the technique. For this, we applied the goodness of fit χ 2 test (Balakrishnan et al., 2013), comparing the observed frequencies with those expected under the hypothesis that the lateral execution of a technique would be distributed uniformly. We set statistical significance at p < 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…To do this, we first analyzed whether the sample data fit a certain distribution; that is, if the data were proportionally distributed in the lateral execution of the technique. For this, we applied the goodness of fit χ 2 test (Balakrishnan et al., 2013), comparing the observed frequencies with those expected under the hypothesis that the lateral execution of a technique would be distributed uniformly. We set statistical significance at p < 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…The Chi-square goodness of fit test is a test that determines whether the variable is likely to come from a specified distribution or not. It was proposed by Pearson (1900) 4 . It is also known as statistical tests 5 .…”
Section: Introductionmentioning
confidence: 99%