chi-square test

(redirected from Chi square test)
Also found in: Dictionary, Medical.

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.
..... Click the link for more information.
.

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 ?
Hyperuricaemic patients significantly developed more hypertensive retinopathy in comparison to normouricaemic patients (* p<0.02; ** chi square test).
When chi square test was applied to these ratings it showed the presence of statistical significance with (p=0.001) between the three groups that is Dentists-Orthodontists-Lay persons.
Pelargonium No drug (n p Value sidoittes (n = 30) = 31) Nasal symptoms, n 13 (43) 23 (74) <0.05 (%) (a) Cough, n (%) 17 (56) 28 (90) <0.05 (a) Asthma attack, n (%) 6 (20) 15 (48) <0.05 (a) (a) Chi square test. Secondary end points
The one-way chi square test confirms that these results are statistically significant ([chi square] = 80.03, df = 4, [rho] [less than or equal to] .0001).
Barnett suggests using a chi square test to make this process more objective.
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.
The chi square test found (.05 level) that those respondents whose clients had lower average income (less than $100,000 per year) more strongly believed that their clients lacked adequate resources to meet these long-term care costs than those respondents with upscale clients (average income greater than $100,000).
The relation between the primary and secondary objectives was studied using the Chi square test, with the help of Software, SPSS.
In order to determine if the observed differences in performance of activities were statistically significant, the chi square test of independence was used.
The second section concentrates on experimental design, principles, and procedures including linear models and analysis of variance, method and layout of Completely Randomized Design, the advantages and disadvantages of Randomized Complete Block Design, and the Chi Square Test of Significance.
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).