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

chi′-square`

(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]
References in periodicals archive ?
The relation between the primary and secondary objectives was studied using the Chi square test, with the help of Software, SPSS.
Chi square test was used to compare the significance of different age groups in frequency of pain relief in both occlusal reduction and no occlusal reduction group.
Chi square test was performed to find out the presence of statistical significance among the three groups (Dentists, Orthodontists, Lay persons) (Table 1-4).
After processing the data with the help of CHI SQUARE TEST, by comparing the two groups of subjects, we noticed substantial differences (p<0.
The following are appended: (1) McCabe Academic Integrity Survey 2010: Screen Shot of Faculty Survey; (2) Modified Academic Integrity Survey; and (3) Chi Square Test of the First 42 Questions.
Results of a 2 X2 Chi Square test revealed that 46.
The undergraduate textbook explains measures of central tendency and variability, correlation coefficients, t tests, analysis of variance, the chi square test, and how to conduct a research study.
Finally, cross tabulation and chi square test was employed to determine whether the differences in the rating of the variables could be based on the size of firm, the amount of education and level of valuation experience of respondents.
The goodness of fit chi square test confirmed that these results are statistically significant ([chi square] = 49.
A chi square test was used in analyzing the data to determine if there were significant differences between levels of assertiveness and participants' age, birth order, ethnicity, academic classification and prior history of counseling.
Barnett suggests using a chi square test to make this process more objective.