 The hypotheses being tested may themselves be statistical in nature. One of the simplest examples of statistical hypotheses and their role in likelihoods are hypotheses about the chance characteristic of coin-tossing. Let \(h_{[r]}\) be a hypothesis that says a specific coin has a propensity (or objective chance) r for coming up heads on normal tosses, let \(b\) say that such tosses are probabilistically independent of one another. Let \(c\) state that the coin is tossed n times in the normal way; and let \(e\) say that on these tosses the coin comes up heads m times. In cases like this the value of the likelihood of the outcome \(e\) on hypothesis \(h_{[r]}\) for condition \(c\) is given by the well-known binomial formula: 