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Identify partition events ($E_1, E_2$), conditional probabilities ($P(A|E_i)$), and solve Bayes' theorem 5-mark word problems.
Bayes' Theorem provides the probability of a cause given an observed event: $P(E_i|A) = \frac{P(E_i)P(A|E_i)}{\sum_{j=1}^n P(E_j)P(A|E_j)}$.
Always verify that events $E_1, E_2, \dots, E_n$ form a mutually exclusive and exhaustive partition of the sample space: $\sum P(E_i) = 1$. Clearly state the definition of event $A$ (the common observed event) at the top of your solution.
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