chi-square test

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chi-square test:

see statisticsstatistics,
science of collecting and classifying a group of facts according to their relative number and determining certain values that represent characteristics of the group.
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chi-square test

[′kī ¦skwer ′test]
(statistics)
A generalization, and an extension, of a test for significant differences between a binomial population and a multinomial population, wherein each observation may fall into one of several classes and furnishes a comparison among several samples instead of just two.
References in periodicals archive ?
From Tables 4-9, according to Pearson Chi-square test, the factors significantly affecting the development of renal failure are more than 10 mg/dL bilirubin level, duration of jaundice more than 3 weeks, malignant disease, diabetes mellitus, operation time more than 3 hours, high total leucocyte count, low haematocrit, elevated creatinine and a high alkaline phosphatase level.
05), while the pairwise chi-square tests showed no significant differences among treatments 8 days after fertilization.
The Pearson Chi-square test shows that there is no association between the two variables equality in provisions for skill development and gender as the value of significance is .
A model negative log-likelihood measures the reduction in uncertainty due to the model and is used to construct the chi-square test statistics.
Tables 1-3 used the Chi-square test for independence to assess the relationship between multiple variables and the concentration of lead in drinking water.
Thus, for the cases, headway data was successfully modelled as negative exponential distribution and the hypothesis was ascertained by evaluating chi-square tests.
To test if all factors (demand of product, purchasing power, and NPO targets) are equally significant for an NPO to influence its product mix and also if the categories of competition based on such factors too threaten their success equally, chi-square tests are used.
Chi-square tests were used to detect differences between normal, overweight and obese children in their daily locomotive and nutritional habits.
There were no significant differences in Neorickettsia infection rates among the different cercarial types (Yate's Chi-square tests, p's>0.
In order to test whether there is a relationship between the size of firm, the amount of experience and education an estate surveyor and valuer has and their perception on the clients' influencing factors, the estate surveyors and valuers' questionnaire responses were further analysed using Chi-square tests.
Racial differences in women's characteristics and pregnancy complications were assessed through chi-square tests or analyses of variance; odds ratios were calculated to estimate differences in perinatal mortality.
The first and third hypotheses were analyzed with one-variable chi-square tests.