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CIE 9709 2022 March Paper 62 Q7

A Level / CIE / S2

CIE 9709 2022 March Paper 62 Paper · Question 7

题目

Problem

(a) Two ponds, AA and BB, each contain a large number of fish. It is known that 2.4%2.4\% of fish in pond AA are carp and 1.8%1.8\% of fish in pond BB are carp. Random samples of 5050 fish from pond AA and 6060 fish from pond BB are selected.

Use appropriate Poisson approximations to find the following probabilities.

(i) The samples contain at least 22 carp from pond AA and at least 22 carp from pond BB.

(3)

(ii) The samples contain at least 44 carp altogether.

(3)

(b) The random variables XX and YY have the distributions Po(λ)\mathrm{Po}(\lambda) and Po(μ)\mathrm{Po}(\mu) respectively. It is given that

  • P(X=0)=[P(Y=0)]2\mathrm{P}(X=0)=[\mathrm{P}(Y=0)]^2,
  • P(X=2)=k[P(Y=1)]2\mathrm{P}(X=2)=k[\mathrm{P}(Y=1)]^2, where kk is a non-zero constant.

Find the value of kk.

(4)
题目中文翻译

(a) 两个池塘 AA 和 BB 各有许多鱼。已知池塘 AA 有 2.4%2.4\% 的鱼是鲤鱼,池塘 BB 有 1.8%1.8\% 的鱼是鲤鱼。从池塘 AA 随机抽取 5050 条鱼,从池塘 BB 随机抽取 6060 条鱼。

用适当的泊松近似求下列事件的概率。

(i) 样本中来自池塘 AA 的鲤鱼至少有 22 条,来自池塘 BB 的鲤鱼至少有 22 条。

(3)

(ii) 两个样本中合计至少有 44 条鲤鱼。

(3)

(b) 随机变量 XX 和 YY 分别服从 Po(λ)\mathrm{Po}(\lambda) 和 Po(μ)\mathrm{Po}(\mu) 分布。已知

  • P(X=0)=[P(Y=0)]2\mathrm{P}(X=0)=[\mathrm{P}(Y=0)]^2,
  • P(X=2)=k[P(Y=1)]2\mathrm{P}(X=2)=k[\mathrm{P}(Y=1)]^2,其中 kk 为非零常数。

求 kk 的值。

(4)
原卷通用作答要求

Answer all questions. You should use a calculator where appropriate.

You must show all necessary working clearly; no marks will be given for unsupported answers from a calculator.

Give non-exact numerical answers correct to 3 significant figures, or 1 decimal place for angles in degrees, unless a different level of accuracy is specified in the question.

请回答所有题目。适当时应使用计算器。必须清楚展示所有必要的计算过程;仅给出计算器答案而没有过程,不予评分。除非题目另有精度要求,非精确数值答案保留 3 位有效数字,以度为单位的角度保留 1 位小数。

解答

(a)(i)

解法一

思路

展开

两份样本中的鲤鱼数分别用Po1.2及Po1.08近似;各自至少两条的概率相乘。

答题过程

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Let AA and BB be the numbers of carp in the respective samples. The populations are large and the carp proportions are small, so use the independent Poisson approximations

A∼ Po(50(0.024))=Po(1.2),B∼ Po(60(0.018))=Po(1.08).\begin{align*} A\sim&\,\mathrm{Po}(50(0.024))=\mathrm{Po}(1.2),\\[4mm] B\sim&\,\mathrm{Po}(60(0.018))=\mathrm{Po}(1.08). \end{align*}

Hence

 P(A≥2, B≥2)≈ [1−e−1.2(1+1.2)] ×[1−e−1.08(1+1.08)]= 0.0991(3 s.f.).\begin{align*} &\,\mathrm{P}(A\geq2,\ B\geq2)\\[4mm] \approx&\,\bigl[1-e^{-1.2}(1+1.2)\bigr]\\[4mm] &\,\times\bigl[1-e^{-1.08}(1+1.08)\bigr]\\[4mm] =&\,\boxed{0.0991}\quad\text{(3 s.f.).} \end{align*}

(a)(ii)

解法一

思路

展开

独立Poisson变量之和仍为Poisson,参数相加;至少四条用前三条的补集。

答题过程

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The total C=A+BC=A+B is approximately Po(1.2+1.08)=Po(2.28)\mathrm{Po}(1.2+1.08)=\mathrm{Po}(2.28). Therefore

P(C≥4)≈ 1−e−2.28(1+2.28+2.2822!) −e−2.282.2833!= 0.197(3 s.f.).\begin{align*} \mathrm{P}(C\geq4) \approx&\,1-e^{-2.28}\bigg(1+2.28+\frac{2.28^2}{2!}\bigg)\\[4mm] &\,-e^{-2.28}\frac{2.28^3}{3!}\\[4mm] =&\,\boxed{0.197}\quad\text{(3 s.f.).} \end{align*}

(b)

解法一

思路

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第一条概率关系给λ=2μ,代入第二条并消去共同的正因子。

答题过程

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The first given condition gives

e−λ= (e−μ)2=e−2μ,λ= 2μ.\begin{align*} e^{-\lambda}=&\,(e^{-\mu})^2=e^{-2\mu},\\[4mm] \lambda=&\,2\mu. \end{align*}

The second condition gives

e−λλ22=k(e−μμ)2.e^{-\lambda}\frac{\lambda^2}{2} =k(e^{-\mu}\mu)^2.

Substituting λ=2μ\lambda=2\mu,

2e−2μμ2=ke−2μμ2.2e^{-2\mu}\mu^2=ke^{-2\mu}\mu^2.

Cancelling the common positive factor, k=2\boxed{k=2}.