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CIE 9709 2026 June Paper 65 Q6

A Level / CIE / S2

CIE 9709 2026 June Paper 65 Paper · Question 6

题目

Problem

In a certain country, the wingspan, in cm, of adult swans has the distribution N(234.0,6.92)\mathrm{N}(234.0,6.9^2).

(a) Find the probability that the mean wingspan for a random sample of 2525 adult swans is between 232.0 cm232.0\,\mathrm{cm} and 235.0 cm235.0\,\mathrm{cm}.

(4)

A naturalist wishes to test whether the mean wingspan of adult swans in a particular region is different from 234.0 cm234.0\,\mathrm{cm}. He chooses a random sample of 2525 swans in this region and finds that the mean wingspan is 236.3 cm236.3\,\mathrm{cm}. Assume that the standard deviation of the wingspans is 6.9 cm6.9\,\mathrm{cm}.

(b) (i) Carry out the test at the 5%5\% significance level.

(5)

(ii) Explain whether it was necessary to use the Central Limit Theorem in 6(b)(i).

(1)
题目中文翻译

在某个国家,成年天鹅的翼展(以厘米为单位)服从分布 N(234.0,6.92)\mathrm{N}(234.0,6.9^2)。

(a) 求从成年天鹅中随机抽取 2525 只,所得平均翼展介于 232.0 cm232.0\,\mathrm{cm} 和 235.0 cm235.0\,\mathrm{cm} 之间的概率。

(4)

一名博物学家想检验某地区成年天鹅的平均翼展是否与 234.0 cm234.0\,\mathrm{cm} 不同。他从该地区随机抽取 2525 只天鹅,发现平均翼展为 236.3 cm236.3\,\mathrm{cm}。假设翼展的标准差为 6.9 cm6.9\,\mathrm{cm}。

(b) (i) 在 5%5\% 的显著性水平下进行检验。

(5)

(ii) 说明在 6(b)(i) 中是否有必要使用中心极限定理。

(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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样本均值的方差为总体方差除以样本量,标准差是 6.9/56.9/5;总体已经正态,所以无需近似或连续性修正。

答题过程

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Let W‾\overline W be the sample mean wingspan. Since the population is normal,

W‾∼ N(234,6.9225),sd⁡(W‾)= 6.95=1.38.\begin{align*} \overline W\sim&\,\mathrm N\bigg(234,\frac{6.9^2}{25}\bigg),\\[4mm] \operatorname{sd}(\overline W)=&\,\frac{6.9}{5}=1.38. \end{align*}

Therefore

 P(232<W‾<235)= Φ(235−2341.38) −Φ(232−2341.38)= Φ(0.724638…)−Φ(−1.449275…)≈ 0.692.\begin{align*} &\,\mathrm P(232<\overline W<235)\\[4mm] =&\,\Phi\bigg(\frac{235-234}{1.38}\bigg)\\[4mm] &\,-\Phi\bigg(\frac{232-234}{1.38}\bigg)\\[4mm] =&\,\Phi(0.724638\ldots)-\Phi(-1.449275\ldots)\\[4mm] \approx&\,\boxed{0.692}. \end{align*}

(b)(i)

解法一

思路

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怀疑“不同”对应双侧检验;结论只说明证据不足,不能把未拒绝原假设写成证明均值相等。

答题过程

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Let μ\mu be the population mean wingspan of adult swans in this region. Test

H0:μ=234,H1:μ≠234.H_0:\mu=234,\qquad H_1:\mu\ne234.

Using the known standard deviation 6.96.9 and sample size 2525, the observed statistic is

z=236.3−2346.9/25=1.66667….z=\frac{236.3-234}{6.9/\sqrt{25}}=1.66667\ldots.

The critical values for a two-tailed 5%5\% test are ±1.96\pm1.96. Since ∣1.66667∣<1.96|1.66667|<1.96, do not reject H0H_0.

There is insufficient evidence at the 5%5\% significance level that the population mean wingspan of adult swans in this region differs from 234 cm234\ \text{cm}.

(b)(ii)

解法一

思路

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总体正态直接保证样本均值正态,不以样本量是否大于某个经验门槛为理由。

答题过程

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No. The population distribution of adult-swan wingspans is normal, so the sample mean is normal without needing the Central Limit Theorem.