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
In this example, the chi square
of association is significant: [chi square](1, N = 622)= 105.27, p <.0001.
to degree of freedom ratio [X.sup.2]/df.
(d) Plot of chi square
for different time percentages.
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
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.