chi-square test


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chi-square test

 
a statistical procedure for determining significant differences between frequencies observed within the data and frequencies that were expected. There are two chi-squared tests: the chi-square test of independence, which tests whether two or more series of frequencies are independent of one another; and the chi-square test of goodness of fit, which tests whether an observed frequency distribution fits a specified theoretical model. Written also χ2-test.
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

chi-square test

a statistical method of assessing the significance of a difference, as when the data from two or more samples, such as the numbers of females and males attending each of two colleges, are represented by a discrete number.
Synonym(s): χ2 test
Farlex Partner Medical Dictionary © Farlex 2012
References in periodicals archive ?
The final set of chi-square tests of independence evaluated the relationship between animal cruelty and each discrete variable of parental abuse.
There were almost five times as many Stage 18 embryos in the 2% [O.sub.2] treatment as in the 5% [O.sub.2] treatment (Stage 18; chi-square test, [chi square] = 19.91, P < 0.001).
Table 6 shows results for Chi-square test and Fischer's exact test to verify differences between patients with disease complications, according to the variables annotations of phlogistic signs, dispensing at the right timetable, hospitalization period, demand for swabs and isolation.
The Pearson Chi-square test shows that there is no association between the two variables, providing mentors to employees and gender, as the value of significance is .997 which is greater than .1
The Chi-square test and Spearman's rho correlation has further reaffirmed that career choices, specifically being an entrepreneur are actually getting positively affected by the perceived difficulty.
The two groups differed significantly with regard to postoperative complications, 21 (25.9%) of the elderly patients suffering some sort of postoperative complication compared with 7 (11.5%) of the younger cohort (p=0.031, chi-square test) (Fig.
Symptom frequency was compared by Chi-square test. A p value of less than 0.05 was considered significant.
Chi-square test of independence that is used to investigate the distribution of categorical variables has been applied using SPSS 16 software.
Later, a chi-square test was applied to test the dependency between any two facies states, during facies transitions.
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.
Statistical methods used were correlation analysis and chi-square test.