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 ?
The Chi-square test is used in the cases where the elements of the basic set of measurements have only one character X, which is a random variable, qualitative or quantitative type.
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.
The Cox proportional hazards model considered servicemembers who were not discharged during the 2 yr follow-up as censored observations, with censoring dates equal to 2 yr postamputation, and we used a 1-degree of freedom (DOF) Wald chi-square test to assess the relationship between TBI status and survival.
Statistical descriptions were given to the measurement data, Student's t-test was used for comparisons between sample means, and a chi-square test was carried out for enumeration data.
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.
A chi-square test of independence testing the relationship of the dichotomized student performance with test type (i.
Thus, for the cases, headway data was successfully modelled as negative exponential distribution and the hypothesis was ascertained by evaluating chi-square tests.
Ideally, analyses should be limited to species that have been observed perching more than 24 times to meet a principal assumption of the chi-square tests (expected values >5), and goodness-of-fit alpha levels should be adjusted for multiple comparisons with a modification like the Bonferroni correction.
Chi-square tests of independence were conducted to ascertain if our two independent variables of interest--product type manufactured and firm size--were independently distributed relative to the regional location of the responding firms.
To compare means and frequencies of the variables between cases and controls, t-tests were used for continuous variables, while chi-square tests were used for categorical variables.
Pearson's chi-square tests were used to assess the statistical significance of the relationships between self-esteem and health-risk behaviors and also potential gender differences.