chi-square test


Also found in: Dictionary, Thesaurus, Medical, Legal, Financial, Wikipedia.

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 ?
At this point the teacher states the need for an objective statistical test to determine whether a 3:1 ratio actually exists and introduces the chi-square test.
Chi-square tests and MANOVA were used to analyze the data.
The familiar formula for the chi-square test statistic is written in terms of the observed (O) and expected (E) numbers in the cells of the 2 by J table.
The chi-square test also establishes this observation.
After performing Chi-square tests and binary logistic regression, the factors with independent effect on morbidity and mortality were listed.
Chi-square test was used for qualitative variable (frequency of post-operative pain, gender) and independent sample T-test for quantitative variable (age).
Table 3: Chi-square test for attitude of students to tradition based on Their family income.
For statistical analysis, frequency and percentage (%) distributions were used and the Chi-square test was conducted for variables.
The authors cover descriptive statistics (the histogram, average and standard deviation, normal approximation for data, measurement error and plotting points and lines), correlation and regression (including the RMS error for regression and the regression line), probability (chance, the binomial formula), chance variability (the law of averages, expected value and standard error, and normal approximation for probability histograms), sampling (errors, accuracy of percentages and case studies), chance models, including those used in genetics and tests of significance, including the chi-square test.
Bivariate analyses were performed in order to acquire correlations using the Chi-square test when both variables being compared were nominal.
Cross tabulation and results of the chi-square test for qualities respected, admired and emulated by each gender/socioeconomic status group are displayed in Table 4.