chi square


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chi square (χ)2

[kī]
(in statistics) a statistic test for an association between observed data and expected data represented by frequencies. The test yields a statement of the probability of the obtained distribution having occurred by chance alone.

chi square (kī),

n a nonparametric statistic used with discrete data in the form of frequency count (nominal data) or percentages or proportions that can be reduced to frequencies. Used to determine differences between categories (e.g., yes-no; visits dental office every 6 months, 1 year, 2 years, 5 years); compares the observed results with the expected results to determine significant differences. May be used with many categories of response.
References in periodicals archive ?
The chi square calculated value is much higher than the tabulated value, hence, null hypothesis may be rejected.
Calculated chi square statistic is much higher than the tabulated value; hence, null hypothesis may be rejected.
Once again, a Chi Square analysis was not possible due to cell size restrictions.
A Chi Square analysis was conducted (2 (df = 1) = 7.
Although the likelihoods are not equal, a chi square goodness-of-fit test produced a chi square value of approximately 5.
A chi square goodness-of-fit test was run and produced a chi square value that was not meaningful because of small expected cell frequencies.
There were no statistically significant differences in perception of viability by age Chi square (1, N = 35) = 15.
Chi square analysis of RAS scores revealed no significant differences for level of assertiveness as compared to age ([x.
As the socio-demographic characteristics of non-respondent caregivers were unknown, characteristics of patients with respondent caregivers and patients with non-respondent caregivers were obtained from the patient's medical record and were analyzed for statistical significance using a Chi Square Test of Independence (Table 2).
Because the emotions and nonverbal affect code occurs simultaneously with the other codes, we tabulated a separate Chi Square of the frequency of positive, negative, mixed, and neutral affect across all the codes.
The nonparametric chi square procedure was used to test the significance of the observed difference in the data generated in the study (Cozby, 1085).