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04-BS-2 · December 2017

Question 3 of 8

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

National Examinations, December 2017 — 04-BS-2 Probability and Statistics, 2 hours, closed book except one hand-written information sheet and an approved calculator. Eight questions of equal value; the exam instructs "any 5 questions constitute a complete paper," but all 8 are answered here as a full study resource.

Reference texts: Walpole, Myers, Myers & Ye, Probability & Statistics for Engineers and Scientists (9th ed.) — used throughout for distribution theory, estimation, and hypothesis-testing procedures.

Question 3 (20 marks: (a) 5, (b) 5, (c) 5, (d) 5)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Given. Collisions on the highway follow a Poisson process with rate λ = 3 per week.

Find. (a) P(<4 in a week). (b) P(5<X<9 in 2 weeks). (c) P(3 in week 1 AND 2 in week 2). (d) P(>210 in a year, via Normal approximation).

Approach. The Poisson rate scales linearly with the length of the observation window ($\lambda_t = \lambda t$); independent weeks multiply; for the year-long window use the Normal approximation to the Poisson (valid since $\lambda$ is large).

  1. (a) P(X < 4) with λ = 3. $$P(X<4)=P(X\le 3)=\sum_{k=0}^{3}\frac{e^{-3}3^k}{k!} = \boxed{0.6472}.$$
  2. (b) Two-week window, λ = 6. "More than five but fewer than nine" means $6\le X\le 8$: $$P(6\le X\le 8) = P(X\le 8)-P(X\le 5) = 0.8472-0.4457 = \boxed{0.4016}.$$
  3. (c) Two independent weeks, each λ = 3. $$P(X_1=3\ \text{and}\ X_2=2) = P(X_1=3)\cdot P(X_2=2) = \left(\frac{e^{-3}3^3}{3!}\right)\left(\frac{e^{-3}3^2}{2!}\right) = (0.2240)(0.2240) = \boxed{0.0502}.$$
  4. (d) One-year window, λ = 3(52) = 156. With λ this large, approximate $X\sim N(156,156)$, $\sigma=\sqrt{156}=12.49$. With the continuity correction, "more than 210" → $X\ge 210.5$: $$Z=\frac{210.5-156}{12.49}=4.36, \qquad P(X>210)\approx 1-\Phi(4.36) = \boxed{6.4\times10^{-6}}.$$
Question 3 — final results
PartQuantityValue
(a)P(X < 4), λ=30.6472
(b)P(5<X<9), λ=60.4016
(c)P(X₁=3, X₂=2)0.0502
(d)P(X > 210), λ=1566.4×10⁻⁶
Check: part (d)'s answer is an extremely small probability because 210 collisions is over 4 standard deviations above the annual mean of 156 — a legitimate result of the given weekly rate, not an error.