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CIE 9709 2022 June Paper 62 Q1

A Level / CIE / S2

CIE 9709 2022 June Paper 62 Paper · Question 1

题目

Problem

(a) A javelin thrower noted the lengths of a random sample of 5050 of her throws. The sample mean was 72.3 m72.3\,\mathrm{m} and an unbiased estimate of the population variance was 64.3 m264.3\,\mathrm{m}^2.

Find a 92%92\% confidence interval for the population mean length of throws by this athlete.

(3)

(b) A discus thrower wishes to calculate a 92%92\% confidence interval for the population mean length of his throws. He bases his calculation on his first 5050 throws in a week.

Comment on this method.

(1)
题目中文翻译

(a) 一名标枪运动员随机选取了自己的 5050 次投掷,记录投掷距离。样本均值为 72.3 m72.3\,\mathrm{m},总体方差的一个无偏估计值为 64.3 m264.3\,\mathrm{m}^2。

求该运动员投掷距离总体均值的一个 92%92\% 置信区间。

(3)

(b) 一名铁饼运动员想计算自己投掷距离总体均值的一个 92%92\% 置信区间。他根据一周中最先进行的 5050 次投掷来计算。

评价这一方法。

(1)
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

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样本量50可用正态近似,92%区间临界值对应累计概率0.96。

答题过程

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The sample size is 50, so the central limit theorem gives an approximately normal sampling distribution for the sample mean. For a 92% confidence interval, z=Φ−1(0.96)=1.750686…z=\Phi^{-1}(0.96)=1.750686\ldots. The interval is

72.3±z64.350=72.3±1.98531….72.3\pm z\sqrt{\frac{64.3}{50}} =72.3\pm1.98531\ldots.

Thus the interval for the population mean throw length is

(70.3, 74.3) m(3 s.f.).\boxed{(70.3,\ 74.3)\text{ m}}\quad\text{(3 s.f.).}

(b)

解法一

思路

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一周最早50次不是随机抽样,可能不能代表所有投掷。

答题过程

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The first 50 throws in one week are not a random sample and may not represent all his throws, so the resulting confidence interval may be unreliable.