When interpreting a chi-square test result, you see a very high chi-square statistic ($\chi^2$) and a very low p-value of 0.007. What can you conclude from this? There is weak evidence for a relationship between the two variables. The chi-square test is not appropriate for this data There is strong evidence for a statistically significant difference between the two samples. The null hypothesis is definitely true.
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Step 1: A low p-value (less than the significance level) indicates that the observed result is unlikely to occur by chance if the null hypothesis is true. Show more…
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