In a study of the relationship between coffee consumption and focus, a researcher calculates the likelihood ratio test statistic $\lambda$ for comparing a nested model to a full model. If the log-likelihood of the reduced model is $L_0 = -150$ and the log-likelihood of the full model is $L_1 = -140$, what is the appropriate Chi-square statistic and its degrees of freedom, assuming 2 additional parameters were estimated in the full model?