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CIE 9709 2022 June Paper 51 Q5

A Level / CIE / S1

CIE 9709 2022 June Paper 51 Paper · Question 5

题目

Problem

The lengths, in cm, of the leaves of a particular type are modelled by the distribution N(5.2, 1.52)\mathrm{N}(5.2,\,1.5^2).

(a) Find the probability that a randomly chosen leaf of this type has length less than 6 cm6\,\mathrm{cm}.

(2)

The lengths of the leaves of another type are also modelled by a normal distribution. A scientist measures the lengths of a random sample of 500 leaves of this type and finds that 46 are less than 3 cm3\,\mathrm{cm} long and 95 are more than 8 cm8\,\mathrm{cm} long.

(b) Find estimates for the mean and standard deviation of the lengths of leaves of this type.

(5)

(c) In a random sample of 2000 leaves of this second type, how many would the scientist expect to find with lengths more than 1 standard deviation from the mean?

(4)

题目中文翻译

某种叶子的长度以厘米为单位,用分布 N(5.2, 1.52)\mathrm{N}(5.2,\,1.5^2) 建模。

(a) 求随机选取的一片这种叶子的长度小于 6 cm6\,\mathrm{cm} 的概率。

(2)

另一种叶子的长度也用正态分布建模。一位科学家测量了这种叶子的一个含 500 片叶子的随机样本的长度,发现其中 46 片的长度小于 3 cm3\,\mathrm{cm},95 片的长度大于 8 cm8\,\mathrm{cm}。

(b) 求这种叶子的长度的平均数和标准差的估计值。

(5)

(c) 在第二种叶子的一个含 2000 片叶子的随机样本中,科学家预期有多少片叶子的长度与平均数相差超过 1 个标准差?

(4)

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6cm并求左尾概率。

答题过程

展开

For L∼N(5.2,1.52)L\sim\mathrm{N}(5.2,1.5^2),

P(L<6)=Φ(6−5.21.5)=0.703098571…≈0.703.\mathrm{P}(L<6)=\Phi\biggl(\frac{6-5.2}{1.5}\biggr) =0.703098571\ldots\approx\boxed{0.703}.

(b)

解法一

思路

展开

样本比例46/500及95/500估计两尾概率,第二个换成左尾405/500,列两个分位点方程。

答题过程

展开

The estimated left-tail probabilities are

P(L<3)= 46500=0.092,P(L<8)= 1−95500=0.81.\begin{align*} \mathrm{P}(L<3)=&\,\frac{46}{500}=0.092,\\[4mm] \mathrm{P}(L<8)=&\,1-\frac{95}{500}=0.81. \end{align*}

Hence

3−μσ=Φ−1(0.092)=−1.328539328…,\frac{3-\mu}{\sigma}=\Phi^{-1}(0.092)=-1.328539328\ldots, 8−μσ=Φ−1(0.81)=0.877896295….\frac{8-\mu}{\sigma}=\Phi^{-1}(0.81)=0.877896295\ldots.

Subtracting gives

σ=51.328539328…+0.877896295…=2.266098292….\sigma=\frac5{1.328539328\ldots+0.877896295\ldots} =2.266098292\ldots.

Then

μ=3+1.328539328…(2.266098292…)=6.010600704….\mu=3+1.328539328\ldots(2.266098292\ldots) =6.010600704\ldots.

The estimates are mean 6.01 cm6.01\,\mathrm{cm} and standard deviation 2.27 cm2.27\,\mathrm{cm}.

(c)

解法一

思路

展开

超过一个标准差是两尾之和,不能取中央区间。先算概率再乘2000。

答题过程

展开 p= P(Z<−1)+P(Z>1)= 2[1−Φ(1)]=0.317310507….\begin{align*} p=&\,\mathrm{P}(Z<-1)+\mathrm{P}(Z>1)\\[4mm] =&\,2\bigl[1-\Phi(1)\bigr]=0.317310507\ldots. \end{align*}

The expected number is

2000p=634.621015….2000p=634.621015\ldots.

Thus the scientist would expect 635 leaves.