chi-square


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Related to chi-square: chi-square test

chi-square (χ2),

(kī'skwār),
A statistical technique whereby variables are categorized to determine whether a distribution of scores is due to chance or experimental factors.

chi-square

2) (kī'skwār)
A statistical technique whereby variables are categorized to determine whether a distribution of scores is due to chance or experimental factors.

chi-square

2) (kī'skwār)
A statistical technique whereby variables are categorized to determine whether a distribution of scores is due to chance or experimental factors.
References in periodicals archive ?
Table 6 total chi-square of 100.4357, with a corresponding p-value of 0.0000, indicates that the number of siblings is not independent of nationality.
As a thought experiment, two papers on related subjects (one using step-wise and the other chi-square) are released to the same editorial board.
Cerenis Therapeutics, a biopharmaceutical company, has not reached its primary endpoint in its Phase IIb CHI-SQUARE (Can HDL Infusions Significantly Quicken Atherosclerosis Regression) study in post-Acute Coronary Syndrome patients, it was reported on Friday.
The low value 001 of Chi-square test clearly indicates that there is significant relationship between learning opportunities for women for career advancement and gender.
A model negative log-likelihood measures the reduction in uncertainty due to the model and is used to construct the chi-square test statistics.
Chi-square test of independence that is used to investigate the distribution of categorical variables has been applied using SPSS 16 software.
MAJ Hout states that the Chi-square test is inappropriate for these data.
Valid questionnaires were paired in accordance with self-esteem level, gender role, and coping style, then the chi-square test was used to calculate differences.
RR P subtype A-B [DELTA]] A2-B5 0.0072 0.1 <0.05 A2-B35 0.0089 0.1 <0.001 A3-B8 0.0040 5.2 <0.05 A10-B8 0.0049 6.1 <0.05 A28-B18 0.0025 8.7 <0.05 A28-B22 0.0033 18.0 <0.001 Note: D--expected frequency; H--observed frequency; [LD.sub.[DELTA]]--delta value of linkage disequilibrium; RR- criterion of the relative risk (relative risk); [X.sup.2]-- Pearson's chi-square test.
A descriptive analysis was done, and the 2 groups were compared by contingency table analysis using the Pearson chi-square test complemented by an analysis of residuals.
Then, in 2x2 tables the number of times different weapons were used, i.e., knife, gun, poison, etc., these nominal-by-nominal variables can easily be compared with gender using two-way chi-square tests (Levin & Fox, 2000).