chi-square test

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chi-square test

 
a statistical procedure for determining significant differences between frequencies observed within the data and frequencies that were expected. There are two chi-squared tests: the chi-square test of independence, which tests whether two or more series of frequencies are independent of one another; and the chi-square test of goodness of fit, which tests whether an observed frequency distribution fits a specified theoretical model. Written also χ2-test.

chi-square test

a statistical method of assessing the significance of a difference, as when the data from two or more samples, such as the numbers of females and males attending each of two colleges, are represented by a discrete number.
Synonym(s): χ2 test
References in periodicals archive ?
A B C D E Dentist 23 23 3 0 1 Orthodontist 10 39 0 0 0 Lay person 13 12 12 8 5 Chi square test was also performed to find out the presence of statistical significance among the two groups (Dentists and Orthodontists).
One-way chi square tests were conducted to determine the statistical significance of the findings for each closed-ended question or statement while two way chi square tests will be used to control for the possible effects of gender and age on responses.
Not surprisingly, a chi square test revealed that client age had a significant influence on this result.
The Pearson Chi square test was used to determine if there was a significant relationship between Lower incisor crowding and vertical parameters such as MMA and LFH, with a critical p-value set at (less then)0.
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.
Only nine of the 52 (17 percent) revealed by their ratings on the depressed/happy scale that they were depressed: A chi square test (Siegel, 1956) indicated that the probability of this outcome being due to chance is less than 0.
Chi square test shows that there is no significant difference between both the groups with regards to pain on administration of the anaesthesia.
They were statistically analyzed using chi square test.
This study used the Simultaneous Item Bias Test (SIBTEST), which assesses item dimensionality, and the Mantel-Haenszel Chi Square Test to detect statistically significant DIF in the individual items.
The overall pattern of NNAAP data indicates a reasonable fit even when the chi square test suggests rejection of factor models when sample sizes are large.
The McNemar Test is a nonparametric statistical test that is a type of chi square test using dependent, rather than independent, samples to assess before-after designs in which each subject is used as his or her own control.
Spatz (psychology, Hendrix College) explains descriptive statistics before diving into hypothesis testing and effect size, analysis of variance, and chi square tests.