IB Mathematics AHL 4.17 Poisson distribution -AI HL Paper 1- Exam Style Questions- New Syllabus
Question
An ecologist uses a square sampling frame to estimate the population density of earthworms in a field. She models the number of worms found within a \(1 \text{ m}^2\) quadrat using a Poisson distribution with a mean of \(1.2\).
(a) Calculate the probability that exactly one worm is found in a single \(1 \text{ m}^2\) quadrat.
(b) Calculate the probability that at least one worm is found in a single \(1 \text{ m}^2\) quadrat.
The ecologist selects \(5\) quadrats at random, assuming the counts are independent of one another.
(c) Find the probability that a total of exactly five worms are observed across all \(5\) quadrats.
(d) Find the probability that every one of the \(5\) quadrats contains exactly one worm.
(e) Determine the probability that exactly \(3\) out of the \(5\) quadrats contain at least one worm.
Most-appropriate topic codes:
• AHL 4.17: Poisson distribution and sum of independent Poisson distributions — part (a), (b), (c)
• SL 4.8: Binomial distribution — part (d), (e)
• SL 4.8: Binomial distribution — part (d), (e)
▶️ Answer/Explanation
Detailed solution
(a)
Let \(X \sim Po(1.2)\).
\(P(X=1) = \frac{e^{-1.2}(1.2)^1}{1!} \approx 0.361\).
(b)
\(P(X \ge 1) = 1 – P(X=0)\)
\(P(X \ge 1) = 1 – e^{-1.2} \approx 0.699\).
(c)
For \(5\) quadrats, the sum of independent Poisson variables is also Poisson with \(\lambda_{total} = 5 \times 1.2 = 6\).
Let \(Y \sim Po(6)\).
\(P(Y=5) = \frac{e^{-6}(6)^5}{5!} \approx 0.161\).
(d)
This requires exactly one worm in each of the 5 quadrats independently.
Probability \(= (P(X=1))^5\)
\(= (0.3614…)^5 \approx 0.00617\).
(e)
Let \(W\) be the number of quadrats with at least one worm.
\(W \sim B(5, p)\) where \(p = P(X \ge 1) \approx 0.699\) (from part b).
We need \(P(W=3)\).
\(P(W=3) = \binom{5}{3} (0.6988)^3 (1-0.6988)^2 \approx 0.310\).
