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CIE 9709 2023 November Paper 53 Q2

A Level / CIE / S1

CIE 9709 2023 Nov Paper 53 Paper · Question 2

题目

Problem

The weights of large bags of pasta produced by a company are normally distributed with mean 1.5 kg1.5\,\mathrm{kg} and standard deviation 0.05 kg0.05\,\mathrm{kg}.

(a) Find the probability that a randomly chosen large bag of pasta weighs between 1.42 kg1.42\,\mathrm{kg} and 1.52 kg1.52\,\mathrm{kg}.

(3)

The weights of small bags of pasta produced by the company are normally distributed with mean 0.75 kg0.75\,\mathrm{kg} and standard deviation σ kg\sigma\,\mathrm{kg}. It is found that 68% of these small bags have weight less than 0.9 kg0.9\,\mathrm{kg}.

(b) Find the value of σ\sigma.

(3)

题目中文翻译

某公司生产的大袋意大利面的重量服从正态分布,均值为 1.5 kg1.5\,\mathrm{kg},标准差为 0.05 kg0.05\,\mathrm{kg}。

(a) 随机选择一大袋意大利面,求其重量在 1.42 kg1.42\,\mathrm{kg} 与 1.52 kg1.52\,\mathrm{kg} 之间的概率。

(3)

该公司生产的小袋意大利面的重量服从正态分布,均值为 0.75 kg0.75\,\mathrm{kg},标准差为 σ kg\sigma\,\mathrm{kg}。发现这些小袋意大利面中有 68% 的重量小于 0.9 kg0.9\,\mathrm{kg}。

(b) 求 σ\sigma 的值。

(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)

解法一

思路

展开

标准化两个重量边界后取累计概率之差。

答题过程

展开

Let W∼N(1.5,0.052)W\sim\mathrm{N}(1.5,0.05^2). Then

P(1.42<W<1.52)= Φ(1.52−1.50.05)−Φ(1.42−1.50.05)= Φ(0.4)−Φ(−1.6)= 0.600622449…≈0.601.\begin{align*} \mathrm{P}(1.42<W<1.52) =&\,\Phi\biggl(\frac{1.52-1.5}{0.05}\biggr) -\Phi\biggl(\frac{1.42-1.5}{0.05}\biggr)\\[4mm] =&\,\Phi(0.4)-\Phi(-1.6)\\[4mm] =&\,0.600622449\ldots\approx\boxed{0.601}. \end{align*}

(b)

解法一

思路

展开

左尾0.68对应正分位点,求标准差。

答题过程

展开 0.9−0.75σ=Φ−1(0.68)=0.467698799….\frac{0.9-0.75}{\sigma}=\Phi^{-1}(0.68)=0.467698799\ldots.

Hence

σ=0.150.467698799…=0.320719232…≈0.321.\sigma=\frac{0.15}{0.467698799\ldots} =0.320719232\ldots\approx\boxed{0.321}.