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CIE 9709 2026 March Paper 62 Q3

A Level / CIE / S2

CIE 9709 2026 March Paper 62 Paper · Question 3

题目

Problem

A shop sells two types of cell phone. Sales of the two types occur at constant average rates of 3.23.2 per week for one type and 2.92.9 per week for the other type. You may assume that sales occur at random and independently of one another.

(a) A week is chosen at random.

(i) Find the probability that the shop sells a total of 55 cell phones.

(2)

(ii) Find the probability that the shop sells exactly 55 phones of one type and none of the other type.

(3)

(b) (i) Use a suitable approximating distribution to find the probability that the shop sells a total of more than 3030 cell phones in 66 randomly chosen weeks.

(4)

(ii) Justify your approximating distribution.

(1)

The weekly sales, XX and YY, of two types of computer, have the distributions X∼Po(λ)X\sim\mathrm{Po}(\lambda) and Y∼Po(μ)Y\sim\mathrm{Po}(\mu).

(c) Given that P(X=0)=2P(Y=1)\mathrm{P}(X=0)=2\mathrm{P}(Y=1), find an expression for λ\lambda in terms of μ\mu.

(3)
题目中文翻译

一家商店销售两种手机。两种手机的平均销售速率恒定,一种每周售出 3.23.2 部,另一种每周售出 2.92.9 部。可以假设各次销售随机发生且彼此独立。

(a) 随机选取一周。

(i) 求该商店共售出 55 部手机的概率。

(2)

(ii) 求该商店恰好售出 55 部同一种手机,且另一种一部也未售出的概率。

(3)

(b) (i) 用一个合适的近似分布,求该商店在随机选取的 66 周内共售出超过 3030 部手机的概率。

(4)

(ii) 说明选用该近似分布的理由。

(1)

两种电脑的每周销量 XX 和 YY 分别服从分布 X∼Po(λ)X\sim\mathrm{Po}(\lambda) 和 Y∼Po(μ)Y\sim\mathrm{Po}(\mu)。

(c) 已知 P(X=0)=2P(Y=1)\mathrm{P}(X=0)=2\mathrm{P}(Y=1),用 μ\mu 表示 λ\lambda。

(3)
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

独立 Poisson 变量的总数仍是 Poisson,参数为两种手机的平均销量之和。

答题过程

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Let the weekly sales of the two types be U∼Po(3.2)U\sim\mathrm{Po}(3.2) and V∼Po(2.9)V\sim\mathrm{Po}(2.9), independently. Then

U+V∼Po(6.1).U+V\sim\mathrm{Po}(6.1).

Thus

P(U+V=5)= e−6.16.155!≈ 0.158.\begin{align*} \mathrm P(U+V=5)=&\,\mathrm e^{-6.1}\frac{6.1^5}{5!}\\[4mm] \approx&\,\boxed{0.158}. \end{align*}

(a)(ii)

解法一

思路

展开

只可能是第一种卖五部、第二种零部,或相反。两种互斥情形相加,各情形内用独立性相乘。

答题过程

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Let EE be the event that five phones of one type and none of the other are sold. The two mutually exclusive cases are (U,V)=(5,0)(U,V)=(5,0) and (0,5)(0,5). Therefore

P(E)= P(U=5)P(V=0) +P(U=0)P(V=5)= e−6.13.255! +e−6.12.955!≈ 0.0062715+0.0038336≈ 0.0101.\begin{align*} \mathrm P(E) =&\,\mathrm P(U=5)\mathrm P(V=0)\\[4mm] &\,+\mathrm P(U=0)\mathrm P(V=5)\\[4mm] =&\,\mathrm e^{-6.1}\frac{3.2^5}{5!}\\[4mm] &\,+\mathrm e^{-6.1}\frac{2.9^5}{5!}\\[4mm] \approx&\,0.0062715+0.0038336\\[4mm] \approx&\,\boxed{0.0101}. \end{align*}

(b)(i)

解法一

思路

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六周合计的参数乘以六;多于三十部对应至少三十一部,连续性修正边界为 30.530.5。

答题过程

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Let NN be the total sales over the six weeks. Then N∼Po(6(6.1))=Po(36.6)N\sim\mathrm{Po}(6(6.1))=\mathrm{Po}(36.6). Use the approximation Y∼N(36.6,36.6)Y\sim\mathrm N(36.6,36.6).

With a continuity correction,

P(N>30)= P(N≥31)≈ P(Y>30.5)= 1−Φ(30.5−36.636.6)= 1−Φ(−1.0083…)≈ 0.843.\begin{align*} \mathrm P(N>30) =&\,\mathrm P(N\ge31)\\[4mm] \approx&\,\mathrm P(Y>30.5)\\[4mm] =&\,1-\Phi\bigg(\frac{30.5-36.6}{\sqrt{36.6}}\bigg)\\[4mm] =&\,1-\Phi(-1.0083\ldots)\\[4mm] \approx&\,\boxed{0.843}. \end{align*}

(b)(ii)

解法一

思路

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理由应给出本题具体的 Poisson 参数,而不只是泛泛说“平均数大”。

答题过程

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The normal approximation is appropriate because the Poisson mean is 36.6>15\boxed{36.6>15}.

(c)

解法一

思路

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先把两个 Poisson 单点概率代入给定关系,再取自然对数并把 λ\lambda 单独留下。

答题过程

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The given equation is

e−λ=2μe−μ.\mathrm e^{-\lambda}=2\mu\mathrm e^{-\mu}.

It implies μ>0\mu>0, since the left-hand side is positive. Taking natural logarithms,

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