Describe the reasoning behind a critical value.
Critical values are where the rows and columns meet (degrees of freedom and significance level). These values show that if the null hypothesis is true, there is a (25%, 10% or 5%) probability that x2 will be greater than 1.32, etc. etc. If null hypothesis is NOT TRUE, then we have no idea what those probabilities are except that they are higher.