Final answer:
A low Chi Square value indicates that there is not a significant difference between the observed data and the expected data.
Step-by-step explanation:
A low Chi Square value indicates that there is not a significant difference between the observed data and the expected data. It suggests that the variables being compared are not strongly associated with each other. Essentially, a low Chi Square value suggests that the null hypothesis is more likely to be true.