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 ?
Chi square test was used to compare the significance of gender in frequency of pain relief in both the occlusal reduction and no occlusal reduction group.
When chi square test was applied to these ratings it showed the presence of statistical significance with (p=0.
The one-way chi square test confirms that these results are statistically significant ([chi square] = 80.
First, to determine the overall effectiveness of the SPS in identifying high risk patients, a one-group chi square test was employed comparing base line suicidal frequency data with observed numbers of suicidal incidents.
Although one might expect those planners selling long-term care insurance to be better informed or to have stronger feelings concerning the seriousness of the catastrophic illness problem than those not selling long-term care insurance, a chi square test failed to show a statistically significant
Three statistical analyses aided analyzing the results: Chi Square Test of Independence, Correlation and ANOVA (Analysis of Variation).
4714 Treatment Male Female Mono 60 36 Poly 11 13 On running chi square test, we get, Chi square 1.
The Pearson Chi square test was used to determine whether vertical parameters play a significant part in the development of Lower incisor crowding or not.
In order to determine if the observed differences in performance of activities were statistically significant, the chi square test of independence was used.
The authors cover measures of central tendency, correlation, regression, chi square test of significance, analysis of variance, group comparisons, and split block design.
As the socio-demographic characteristics of non-respondent caregivers were unknown, characteristics of patients with respondent caregivers and patients with non-respondent caregivers were obtained from the patient's medical record and were analyzed for statistical significance using a Chi Square Test of Independence (Table 2).
Willingness score between male and female students and pre-clinical and clinical students was compared by chi square test and p-values calculated.