chi-square distribution

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chi-square distribution

(ˈkaɪˌskwɛə)
n
(Statistics) statistics a continuous single-parameter distribution derived as a special case of the gamma distribution and used esp to measure goodness of fit and to test hypotheses and obtain confidence intervals for the variance of a normally distributed variable
References in periodicals archive ?
Chi square and Fisher's exact tests were performed using statistical software SPSS version 16 to find out a significant difference (p-value 1000 ml).
In this issue, several authors (Mumba & Kraemer, 2019; Serafico, Jarvis, & Eckhardt, 2019) used a chi square statistic to analyze selected pieces of their data.
The raw data was organized, tabulated, analyzed and interpreted by using chi square and percentage.
In this example, the chi square of association is significant: [chi square](1, N = 622)= 105.27, p <.0001.
Chi square to degree of freedom ratio [X.sup.2]/df.
Chi square test revealed the annual prevalence of WMSDs increased with the age in the recent 12 months ([chi square] = 254.504, P < 0.01), and the regions in the lower back ([chi square] = 165.218, P < 0.01), neck ([chi square] = 224.450, P < 0.01), shoulder ([chi square] = 143.822, P < 0.01), and back ([chi square] = 107.393, P < 0.01).
Pearson Chi Square Test for the association between familiarity with business development organizations and the expectation to introduce a new product or service 2011 2012 2012 2013 Autumn Spring Autumn Spring Over the next 12 months in your HRM business operations, do you expect that your company will: Introduce a new product or service?
The gap between belief and practice is also evident from the chi square value.
What Heyl and Hintermair have done in Table 1 is to present the demographic variables they consider might potentially impact the outcomes of the study and judge whether these variables are significantly different for the two main conditions of their study (mainstream schools and special schools) by conducting a [chi square] (pronounced "chi square") test on these variables that looks at the frequencies of categorical variables.
After processing the data with the help of CHI SQUARE TEST, by comparing the two groups of subjects, we noticed substantial differences (p<0.05) of the following indicators: favorite activities (Q2), if they practice or not any kind of physical activity (Q3), they preferred space of doing it (Q6) and new opportunities for practicing sports (Q8).
On the other hand, for both islands, 'good facility' was found significant for greenhouse effects [Perhentian Island: chi square = 32.183, p .001; Redang Island: chi square = 52.803, p .000) and visual [Perhentian Island: chi square = 26.923, p .008; Redang Island: chi square = 23.495, p .023), and interestingly, 'public facilities' was significant and insignificant for Perhentian Island (chi square = 29.552, p .003) and Redang Island (chi square = 12.602, p .399) archipelagos, respectively.