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CIE 9709 2024 June Paper 53 Q2

A Level / CIE / S1

CIE 9709 2024 June Paper 53 Paper · Question 2

题目

Problem

In a certain country, the heights of the adult population are normally distributed with mean 1.64 m1.64\,\mathrm{m} and standard deviation 0.25 m0.25\,\mathrm{m}.

(a) Find the probability that an adult chosen at random from this country will have height greater than 1.93 m1.93\,\mathrm{m}.

(3)

In another country, the heights of the adult population are also normally distributed. 33%33\% of the adult population have height less than 1.56 m1.56\,\mathrm{m}. 25%25\% of the adult population have height greater than 1.86 m1.86\,\mathrm{m}.

(b) Find the mean and the standard deviation of this distribution.

(5)
题目中文翻译

在某个国家,成年人口的身高服从均值为 1.64 m1.64\,\mathrm{m}、标准差为 0.25 m0.25\,\mathrm{m} 的正态分布。

(a) 求从该国随机选出的一名成年人身高大于 1.93 m1.93\,\mathrm{m} 的概率。

(3)

在另一个国家,成年人口的身高也服从正态分布。该国 33%33\% 的成年人身高小于 1.56 m1.56\,\mathrm{m},25%25\% 的成年人身高大于 1.86 m1.86\,\mathrm{m}。

(b) 求这个分布的均值和标准差。

(5)
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)

解法一

思路

展开

标准化1.93,取右尾概率。

答题过程

展开

Let H∼N(1.64,0.252)H\sim\mathrm{N}(1.64,0.25^2). Then

P(H>1.93)= 1−Φ(1.93−1.640.25)= 1−Φ(1.16)= 0.123024…≈ 0.123.\begin{align*} \mathrm{P}(H>1.93) =&\,1-\Phi\biggl(\frac{1.93-1.64}{0.25}\biggr)\\[4mm] =&\,1-\Phi(1.16)\\[4mm] =&\,0.123024\ldots\\[4mm] \approx&\,\boxed{0.123}. \end{align*}

(b)

解法一

思路

展开

第二个条件是右尾0.25,换成左尾0.75;用两个分位点列联立方程。

答题过程

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For the second country, write H∼N(μ,σ2)H\sim\mathrm{N}(\mu,\sigma^2). The given probabilities give

1.56−μσ=Φ−1(0.33)=−0.439913…,\frac{1.56-\mu}{\sigma}=\Phi^{-1}(0.33)=-0.439913\ldots, 1.86−μσ=Φ−1(0.75)=0.674489….\frac{1.86-\mu}{\sigma}=\Phi^{-1}(0.75)=0.674489\ldots.

Subtracting,

σ=1.86−1.560.674489…+0.439913…=0.269202454….\sigma=\frac{1.86-1.56}{0.674489\ldots+0.439913\ldots} =0.269202454\ldots.

Then

μ=1.56+0.439913…(0.269202454…)=1.678425703….\mu=1.56+0.439913\ldots(0.269202454\ldots) =1.678425703\ldots.

Thus the mean is 1.68 m1.68\,\mathrm{m} and the standard deviation is 0.269 m0.269\,\mathrm{m}.