Moderate -0.8 This is a straightforward application of Bayes' theorem with clearly stated probabilities and a simple tree diagram structure. Students need to find P(no biscuit), then apply the conditional probability formula, but all values are given directly with no algebraic manipulation or conceptual subtlety required.
3 For her bedtime drink, Suki has either chocolate, tea or milk with probabilities \(0.45,0.35\) and 0.2 respectively. When she has chocolate, the probability that she has a biscuit is 0.3 When she has tea, the probability that she has a biscuit is 0.6 . When she has milk, she never has a biscuit.
Find the probability that Suki has tea given that she does not have a biscuit.
3 For her bedtime drink, Suki has either chocolate, tea or milk with probabilities $0.45,0.35$ and 0.2 respectively. When she has chocolate, the probability that she has a biscuit is 0.3 When she has tea, the probability that she has a biscuit is 0.6 . When she has milk, she never has a biscuit.
Find the probability that Suki has tea given that she does not have a biscuit.\\
\hfill \mbox{\textit{CAIE S1 2021 Q3 [5]}}