def Likelihood(self, data, hypo):
"""Computes the likelihood of a test score, given efficacy."""
p_correct = hypo
score = data
k = self.exam.Reverse(score)
n = self.exam.max_score
like = thinkbayes.EvalBinomialPmf(k, n, p_correct)
return like
def Likelihood(self, data, hypo):
"""Likelihood of the data given the hypothesis.
data: number of particles counted
hypo: number of particles hitting the counter, n
"""
k = data
n = hypo
p = self.f
return thinkbayes.EvalBinomialPmf(k, n, p)