
1. Let $B$ be the event that the cab was blue, and $W$ be the event that the witness identified the cab as blue.
2. We need to find $P(B|W)$, the probability that the cab was blue given that the witness identified it as blue.
3. Given data:
- $P(B) = 15\% = 0.15$ (probability of a cab being blue)
- $P(\text{not} \, B) = 85\% = 0.85$ (probability of a cab not being blue)
- $P(W|B) = 80\% = 0.8$ (probability of correct identification)
- $P(W|\text{not} \, B) = 20\% = 0.2$ (probability of incorrect identification)
4. Using Bayes' theorem:
$P(B|W) = \dfrac{P(B \cap W)}{P(W)}$
$P(B|W) = \dfrac{P(B \cap W)}{P(W \cap B) + P(W \cap \text{not} \, B)}$
$P(B|W) = \dfrac{P(W|B) * P(B)}{P(W|B) * P(B) + P(W|\text{not} \, B) * P(\text{not} \, B)}$
5. Calculating:
$P(B|W) = \dfrac{(0.8 * 0.15)}{(0.8 * 0.15) + (0.2 * 0.85)}$
$P(B|W) = \dfrac{0.12}{(0.12 + 0.17)}$
$P(B|W) = \dfrac{0.12}{0.29}$
$P(B|W) \approx 0.4138 \approx 41.38\% \approx 41\%$
6. Therefore, the closest probability that the cab was blue given that the witness identified it as blue is $41\%$.