If the chi-square test yields a p value of less than 0.05, what does this mean?

The Chi-square test is a test to statistically determine whether an observed value is significantly different than the expected value. If a p value is greater than 0.05, this means that there is no significant difference between the two values. However, if the p value is less than 0.05, then there is a significant difference between the observed data and the expected data.