Cars arrive at a fuel station at random and at a constant average rate of 13.5 per hour.
- (a)Find the probability that more than 4 cars arrive during a 20-minute period.[3]
- (b)Use an approximating distribution to find the probability that the number of cars that arrive during a 12-hour period is between 150 and 160 inclusive.[4]
- (c)Independently of cars, trucks arrive at the fuel station at random and at a constant average rate of 3.6 per 15-minute period. Find the probability that the total number of cars and trucks arriving at the fuel station during a 10-minute period is more than 3 and less than 7.[3]
Mark scheme
Marking points from the official mark scheme (May/June 2022). The mark or mark type is shown in brackets.
- [B1] λ = 13.5 × 20/60 = 4.5
- [M1] 1 - e⁻⁴·⁵ (1 + 4.5 + 4.5²/2! + 4.5³/3! + 4.5⁴/4!) Allow one end error Allow any λ. Poisson expressions must be seen
- [A1] = 0.468 (3 sf) If M0 awarded allow SC B1 for 0.468
- [B1] λ = 13.5 × 12 = 162 (X ~ Po(162) ⇒ X ~ N(162, 162))
- [M1] (149.5 - '162')/√'162' and (160.5 - '162')/√'162' (=-0.982 and -0.118) One of these; allow with incorrect or no continuity correction
- [M1] Φ('0.982') - Φ('0.118') oe Area consistent with their values (both standardisations must be seen)
- [A1] = 0.290 (3 sf) Allow 0.29
- [M1] λ_C = 13.5 × 10/60 = 2.25, λ_T = 3.6 × 10/15 = 2.4. Total λ = 2.25 + 2.4 = 4.65. Attempt to find λ
- [M1] e⁻⁴·⁶⁵ (4.65⁴/4! + 4.65⁵/5! + 4.65⁶/6!) Allow any λ Allow one end error Poisson terms not be seen
- [A1] 0.494 (3 sf) If M0 allow SC B1 for 0.494
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