A car hire firm has two cars, which it hires out day by day. The number of demands for cars on each day is distributed as a Poisson distribution with mean 1.5. Calculate the probabilities of days on which neither car is used and the probabilities of days on which some demand is refused. (Use $e^{-1.5} = 0.2231$) |
Probability (neither car used) = 0.2231; Probability (demand refused) = 0.1913 Probability (neither car used) = 0.3347; Probability (demand refused) = 0.2510 Probability (neither car used) = 0.2231; Probability (demand refused) = 0.8087 Probability (neither car used) = 0.1913; Probability (demand refused) = 0.2231 |
Probability (neither car used) = 0.2231; Probability (demand refused) = 0.1913 |
The correct answer is Option (1) → Probability (neither car used) = 0.2231; Probability (demand refused) = 0.1913 Here $λ$ = mean = 1.5 The probability of days when no car is required $= P(0)=e^{-λ}=e^{-1.5} = 0.2231$ The probability of days when some demand is refused = Prob. (more than 2 cars are demanded) = $1 - [P(0) + P(1) + P(2)]$ $=1-e^{-λ}\left(1+\frac{λ}{1!}+\frac{λ^2}{2!}\right)=1-0.2231 (1 + 1.5+ 1.125) = 0.1913$ |