chi-square test

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chi-square test

n.
A test that uses the chi-square statistic to test the fit between a theoretical frequency distribution and a frequency distribution of observed data for which each observation may fall into one of several classes.

chi-square test

n
(Statistics) statistics a test derived from the chi-square distribution to compare the goodness of fit of theoretical and observed frequency distributions or to compare nominal data derived from unmatched groups of subjects

(or chi′-squared`) test`,

n.
a test that uses the quantity chi-square for testing the mathematical fit of a frequency curve to an observed frequency distribution.
[1935–40]
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References in periodicals archive ?
Possible Answer: Yes, the chi-square test allows for more deviation from the expected with a smaller sample size.
The results of the Chi-square test did not, however, provide any statistical relationship between the size of firm, amount of experience and education of estate surveyors and valuers and their perception on the comparative importance of the identified clients' influencing factors.
A chi-square test revealed that the total number of descriptions of "improved" were significantly more than those of "unimproved.
Comparisons of above criteria were made between the two groups using chi-square test or Fischer's exact test.
Haynam, Govindarajulu, and Leone  tabulated the power 1 - [beta] of chi-square test of significance as a function of the level of significance [alpha], degrees of freedom v, and noncentrality parameter [lambda] for [alpha] = 0.
Using a Chi-square test it was determined that there was no significant difference between the frequencies of students that scored the best with each color, x^2(4, N=25) p>.
The chi-square test for gender and career choice goals was significant ([chi square] = 125.
Here's how one hospital laboratory used the chi-square test and a simple Windows-based program their technologists' competency reading manual differentials.
A chi-square test of independent samples indicated that constructivist instruction was significantly more effective than lecture and demonstration.
Plaque prevalence in the two groups was compared by the chi-square test.
To test this hypothesis, a 2 x 16 contingency table was created and chi-square test was used as the data is represented by unordered numeric categorical variables.
Stability Tests for the Cyclical Properties of Real Variables Chi-Square test for equality of correlations across sample periods (1959:Q1 to 1979:Q3 and 1979:Q4 to1998:Q4) Variable X [X.

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