In previous chapters, we learned how to estimate model parameters and other quantities of interest in both parametric and nonparametric settings. In many applications, however, researchers are interested in checking certain statements about parameters rather than estimating their values per se. In this chapter, we will develop a general framework for testing statistical hypotheses and discuss in detail an important but often misused and misunderstood concept of the p-value.