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CIE 9231 2023 Nov Paper 42 Q1

A Level / CIE / FS

CIE 9231 2023 Nov Paper 42 Paper · Question 1

题目

Problem

A factory produces small bottles of natural spring water. Two different machines, XX and YY, are used to fill empty bottles with the water. A quality control engineer checks the volumes of water in the bottles filled by each of the machines. He chooses a random sample of 60 bottles filled by machine XX and a random sample of 75 bottles filled by machine YY. The volumes of water, xx and yy respectively, in millilitres, are summarised as follows.

∑x=6345,∑(x−xˉ)2=243.8,∑y=7614,∑(y−yˉ)2=384.9.\begin{gathered} \sum x = 6345,\qquad \sum (x-\bar{x})^2 = 243.8,\\ \sum y = 7614,\qquad \sum (y-\bar{y})^2 = 384.9. \end{gathered}

xˉ\bar{x} and yˉ\bar{y} are the sample means of the volume of water in the bottles filled by machines XX and YY respectively.

Find a 95% confidence interval for the difference between the mean volume of water in bottles filled by machine XX and the mean volume of water in bottles filled by machine YY.

[6]
题目中文翻译

一家工厂生产小瓶天然泉水。有两台不同的机器 XX 和 YY 用来向空瓶中灌水。质量控制工程师检查由两台机器灌装的瓶中水的体积。他从机器 XX 灌装的瓶中随机抽取 60 瓶,从机器 YY 灌装的瓶中随机抽取 75 瓶。水的体积分别记为 xx 和 yy,单位为毫升,汇总如下。

∑x=6345,∑(x−xˉ)2=243.8,∑y=7614,∑(y−yˉ)2=384.9.\begin{gathered} \sum x = 6345,\qquad \sum (x-\bar{x})^2 = 243.8,\\ \sum y = 7614,\qquad \sum (y-\bar{y})^2 = 384.9. \end{gathered}

xˉ\bar{x} 和 yˉ\bar{y} 分别是机器 XX 与机器 YY 灌装的瓶中水体积的样本均值。

求机器 XX 灌装瓶中水的平均体积与机器 YY 灌装瓶中水的平均体积之差的 95% 置信区间。

(6)
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

解法一

思路

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两组样本量都大。用各组平方离差和求无偏方差,再相加得到独立均值差的方差估计。

答题过程

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The sample means are xˉ=6345/60=105.75\bar x=6345/60=105.75 and yˉ=7614/75=101.52\bar y=7614/75=101.52. The variance estimates are sX2=243.8/59s_X^2=243.8/59 and sY2=384.9/74s_Y^2=384.9/74. Using the large-sample normal approximation, the estimated standard error of the difference is

 243.8/5960+384.9/7475= 0.371781….\begin{align*} &\,\sqrt{\frac{243.8/59}{60}+\frac{384.9/74}{75}}\\ =&\,0.371781\ldots. \end{align*}

The 95%95\% confidence interval for μX−μY\mu_X-\mu_Y is

 4.23±1.96(0.371781…)= (3.50130…,4.95869…).\begin{align*} &\,4.23\pm1.96(0.371781\ldots)\\ =&\,(3.50130\ldots,4.95869\ldots). \end{align*}

Thus it is (3.50,4.96)(3.50,4.96) ml to three significant figures.