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CIE 9231 2024 Nov Paper 42 Q5

A Level / CIE / FS

CIE 9231 2024 Nov Paper 42 Paper · Question 5

题目

Problem

Dev owns a small company which produces bottles of juice. He uses two machines, XX and YY, to fill empty bottles with juice. Dev is investigating the volumes of juice in the bottles. He chooses a random sample of 35 bottles filled by machine XX and a random sample of 60 bottles filled by machine YY. The volumes of juice, xx and yy respectively, measured in suitable units, are summarised by

∑x=30.8,∑x2=29.0,∑y=62.4,∑y2=76.8.\begin{gathered} \sum x = 30.8, \qquad \sum x^2 = 29.0, \\ \sum y = 62.4, \qquad \sum y^2 = 76.8. \end{gathered}

Dev claims that the mean volume of juice in bottles filled by machine YY is greater than the mean volume of juice in bottles filled by machine XX. A test at the α\alpha% significance level suggests that there is sufficient evidence to support Dev’s claim.

Find the set of possible values of α\alpha.

[9]
题目中文翻译

Dev 拥有一家生产瓶装果汁的小公司。他使用两台机器 XX 和 YY 将果汁灌入空瓶中。Dev 正在研究瓶中果汁的体积。他选取了由机器 XX 灌装的 35 瓶随机样本,以及由机器 YY 灌装的 60 瓶随机样本。果汁体积分别记为 xx 和 yy,以合适单位测量,其数据汇总为

∑x=30.8,∑x2=29.0,∑y=62.4,∑y2=76.8.\begin{gathered} \sum x = 30.8, \qquad \sum x^2 = 29.0, \\ \sum y = 62.4, \qquad \sum y^2 = 76.8. \end{gathered}

Dev 声称由机器 YY 灌装的瓶中果汁平均体积大于由机器 XX 灌装的瓶中果汁平均体积。在 α\alpha% 显著性水平下进行的检验表明,有足够证据支持 Dev 的说法。

求 α\alpha 的可能取值集合。

(9)
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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两组样本量都较大,用均值差的正态近似。把单尾 pp 值换成百分数,即得到能拒绝零假设的显著性水平边界。

答题过程

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Test H0 ⁣:μY=μXH_0\colon\mu_Y=\mu_X against H1 ⁣:μY>μXH_1\colon\mu_Y>\mu_X. The means are xˉ=30.8/35=0.88\bar x=30.8/35=0.88 and yˉ=62.4/60=1.04\bar y=62.4/60=1.04. The unbiased variance estimates are

 sX2=29.0−30.82/3534=0.0557647…, sY2=76.8−62.42/6059=0.2017627….\begin{align*} &\,s_X^2=\frac{29.0-30.8^2/35}{34}=0.0557647\ldots,\\ &\,s_Y^2=\frac{76.8-62.4^2/60}{59}=0.2017627\ldots. \end{align*}

For the independent large samples, the estimated variance of Yˉ−Xˉ\bar Y-\bar X is sY2/60+sX2/35=0.004955989…s_Y^2/60+s_X^2/35=0.004955989\ldots. Thus

 z=1.04−0.88sY2/60+sX2/35= 2.272766….\begin{align*} &\,z=\frac{1.04-0.88}{\sqrt{s_Y^2/60+s_X^2/35}}\\ =&\,2.272766\ldots. \end{align*}

The upper-tail pp-value is 1−Φ(2.272766…)=0.0115201…1-\Phi(2.272766\ldots)=0.0115201\ldots. Using rejection when p<α/100p<\alpha/100, the required levels satisfy α>100(1−Φ(2.272766…))\alpha>100(1-\Phi(2.272766\ldots)), with boundary approximately 1.151.15. Thus α>1.15\alpha>1.15, with the boundary stated to three significant figures.