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S2 2026 Jan Q6

A Level / Edexcel / S2

IAL 2026 Jan Paper · Question 6

题目

Problem

In this question you must show all stages of your working.

Solutions relying entirely on calculator technology are not acceptable.

A farmer grows watermelons on a farm. The weights, in kilograms, of the watermelons are modelled by the random variable WW with probability density function

 f(w)= {19(6−w)(w−2),2≤w≤5,0,otherwise.\begin{align*} &\,f(w)=\\[4mm] &\,\begin{cases} \begin{aligned}\dfrac{1}{9}(6-w)(w-2),\\[-2pt]2\leq w\leq5,\end{aligned}\\[6pt] \begin{aligned}0,\\[-2pt]\text{otherwise}.\end{aligned} \end{cases} \end{align*}

(a) Sketch the graph of f(w)f(w)

(2)

(b) State the mode of WW

(1)

(c) Find the mean weight of these watermelons.

(4)

Given that E(W2)=735E(W^2)=\dfrac{73}{5}

(d) find the standard deviation of the weights of these watermelons, giving the answer to 3 significant figures.

(2)

(e) Show that the median lies between w=3.7w=3.7 and w=3.8w=3.8

(5)

The farmer inspects the watermelons to check whether or not they are spoiled.

The number of spoiled watermelons found by the farmer in an area of 150 m2150\text{ m}^2 on the farm is modelled by a Poisson distribution with mean 5.

The farmer randomly selects an area of 900 m2900\text{ m}^2 from the farm and counts the number of spoiled watermelons.

(f) Use a normal approximation to find the probability that the farmer finds fewer than 20 spoiled watermelons.

(5)
(Total for Question 6 is 19 marks)
题目中文翻译

本题中,你必须展示计算过程的所有步骤。

完全依赖计算器技术的解答不可接受。

一名农民在农场种植西瓜。西瓜的重量(单位:千克)由随机变量 WW 建模,其概率密度函数为

 f(w)= {19(6−w)(w−2),2≤w≤5,0,其他情况.\begin{align*} &\,f(w)=\\[4mm] &\,\begin{cases} \begin{aligned}\dfrac{1}{9}(6-w)(w-2),\\[-2pt]2\leq w\leq5,\end{aligned}\\[6pt] \begin{aligned}0,\\[-2pt]\text{其他情况}.\end{aligned} \end{cases} \end{align*}

(a) 画出 f(w)f(w) 的图像。

(2)

(b) 写出 WW 的众数。

(1)

(c) 求这些西瓜的平均重量。

(4)

已知 E(W2)=735E(W^2)=\dfrac{73}{5}。

(d) 求这些西瓜重量的标准差,答案保留 3 位有效数字。

(2)

(e) 证明中位数位于 w=3.7w=3.7 与 w=3.8w=3.8 之间。

(5)

农民检查西瓜是否变质。在农场面积为 150 m2150\text{ m}^2 的区域内发现的变质西瓜数量,服从均值为 5 的泊松分布。

农民从农场随机选取面积为 900 m2900\text{ m}^2 的区域,并统计变质西瓜的数量。

(f) 使用正态近似,求农民发现少于 20 个变质西瓜的概率。

(5)

(第 6 题共 19 分)

解答

(a)

解法一

思路

展开

先由两个因式确定零点,再看二次项系数判断抛物线开口方向。密度只在给定区间内存在,区间外为零。

答题过程

展开

The graph is a downward-opening quadratic with roots w=2w=2 and w=6w=6.

On the required interval, it starts at (2,0)(2,0), reaches its maximum at w=4w=4, and ends at

f(5)=(6−5)(5−2)9=13.f(5)=\frac{(6-5)(5-2)}9=\frac13.

Also, f(w)=0f(w)=0 for w<2w<2 and for w>5w>5.

(b)

解法一

思路

展开

密度曲线最高点的横坐标就是众数。由 (a) 的对称轴可直接读出。

答题过程

展开

The maximum of the quadratic occurs at w=4w=4.

Therefore,

Mode of W=4 kg.\boxed{\text{Mode of }W=4\text{ kg}}.

(c)

解法一

思路

展开

连续型随机变量的均值为 ∫wf(w) dw\int wf(w)\,\mathrm{d}w。先展开被积式,再在支撑区间 [2,5][2,5] 上积分。

答题过程

展开

Let

g(w)= w(6−w)(w−2)= −w3+8w2−12w.\begin{align*} g(w)=&\,w(6-w)(w-2)\\[4mm] =&\,-w^3+8w^2-12w. \end{align*}

Then

E(W)=19∫25g(w) dw.E(W)=\frac19\int_2^5g(w)\,\mathrm{d}w.

An antiderivative of the expanded integrand is

 H(w)= −w44+8w33−6w2.\begin{align*} &\,H(w)\\[4mm] =&\,-\frac{w^4}{4}+\frac{8w^3}{3}-6w^2. \end{align*}

At the limits,

 H(5)= −6254+10003−150= 32512, H(2)= −4+643−24= −203.\begin{align*} &\,H(5)\\[4mm] =&\,-\frac{625}{4}+\frac{1000}{3}-150\\[4mm] =&\,\frac{325}{12},\\[4mm] &\,H(2)\\[4mm] =&\,-4+\frac{64}{3}-24\\[4mm] =&\,-\frac{20}{3}. \end{align*}

Therefore,

E(W)= 19[H(w)]25= 19(32512+203)= 154=3.75 kg.\begin{align*} E(W)=&\,\frac19\big[H(w)\big]_2^5\\[4mm] =&\,\frac19\Big(\frac{325}{12}+\frac{20}{3}\Big)\\[4mm] =&\,\frac{15}{4}=\boxed{3.75\text{ kg}}. \end{align*}

(d)

解法一

思路

展开

使用方差恒等式

 Var⁡(W)= E(W2)−[E(W)]2,\begin{align*} &\,\operatorname{Var}(W)\\[4mm] =&\,E(W^2)-[E(W)]^2, \end{align*}

再从方差开平方得到标准差。

答题过程

展开 Var⁡(W)= 735−(154)2= 4380.\begin{align*} \operatorname{Var}(W) =&\,\frac{73}{5}-\Big(\frac{15}{4}\Big)^2\\[4mm] =&\,\frac{43}{80}. \end{align*}

Hence

sd⁡(W)= 4380= 0.73314…≈ 0.733 kg.\begin{align*} \operatorname{sd}(W) =&\,\sqrt{\frac{43}{80}}\\[4mm] =&\,0.73314\ldots\\[4mm] \approx&\,\boxed{0.733\text{ kg}}. \end{align*}

The answer is given to 3 significant figures.

(e)

解法一

思路

展开

中位数 mm 满足 P(W≤m)=0.5P(W\leq m)=0.5。分别计算 3.7 和 3.8 左侧的累计概率;若两者分居 0.5 两侧,就能证明中位数位于两数之间。

答题过程

展开

For 2≤w≤52\leq w\leq5,

F(w)=19∫2w9f(t) dt.F(w)=\frac19\int_2^w9f(t)\,\mathrm{d}t.

Here 9f(t)=−t2+8t−129f(t)=-t^2+8t-12, so an antiderivative is

h(t)=−t33+4t2−12t.h(t)=-\frac{t^3}{3}+4t^2-12t.

At the lower limit,

h(2)= −83+16−24= −323.\begin{align*} h(2)=&\,-\frac83+16-24\\[4mm] =&\,-\frac{32}{3}. \end{align*}

Hence

F(w)=19(h(w)+323).F(w)=\frac19\Big(h(w)+\frac{32}{3}\Big).

Substituting each boundary gives

 F(3.7)= 19(−3.733+4(3.7)2 −12(3.7)+323)= 0.460…<0.5, F(3.8)= 19(−3.833+4(3.8)2 −12(3.8)+323)= 0.504…>0.5.\begin{align*} &\,F(3.7)\\[4mm] =&\,\frac19\Big(-\frac{3.7^3}{3}+4(3.7)^2\\[4mm] &\,\hspace{2pt}-12(3.7)+\frac{32}{3}\Big)\\[4mm] =&\,0.460\ldots<0.5,\\[4mm] &\,F(3.8)\\[4mm] =&\,\frac19\Big(-\frac{3.8^3}{3}+4(3.8)^2\\[4mm] &\,\hspace{2pt}-12(3.8)+\frac{32}{3}\Big)\\[4mm] =&\,0.504\ldots>0.5. \end{align*}

Since the cumulative probability passes through 0.50.5 between these two values,

3.7<median<3.8.\boxed{3.7<\text{median}<3.8}.

解法二

思路

展开

也可以直接令累计概率等于 0.50.5,解出中位数后再检查其他三次方程根不在分布的支撑区间内。

答题过程

展开

Let the median be mm. Then

 ∫2mf(w) dw=12, 9f(w)=−w2+8w−12.\begin{align*} &\,\int_2^mf(w)\,\mathrm{d}w=\frac12,\\[4mm] &\,9f(w)=-w^2+8w-12. \end{align*}

Integrating and substituting both limits gives

 19(−m33+4m2−12m +323)=12, −2m3+24m2−72m +64=27, 2m3−24m2+72m −37=0.\begin{align*} &\,\frac19\Big(-\frac{m^3}{3}+4m^2-12m\\[4mm] &\,\hspace{2pt}+\frac{32}{3}\Big)=\frac12,\\[4mm] &\,-2m^3+24m^2-72m\\[4mm] &\,\hspace{2pt}+64=27,\\[4mm] &\,2m^3-24m^2+72m\\[4mm] &\,\hspace{2pt}-37=0. \end{align*}

The roots are approximately 0.650.65, 3.793.79 and 7.67.6. Only 3.79…3.79\ldots lies in [2,5][2,5], so

m≈3.79,\boxed{m\approx3.79},

which again shows that 3.7<m<3.83.7<m<3.8.

(f)

解法一

思路

展开

面积从 150 m2150\text{ m}^2 放大到 900 m2900\text{ m}^2,比例为 6,所以泊松均值变为 30。按题意用正态近似,并对“少于 20”使用连续性修正 19.519.5。

答题过程

展开

Let XX be the number of spoiled watermelons in the selected area. Then

X∼Po⁡(30).X\sim\operatorname{Po}(30).

Using the normal approximation,

V∼N⁡(30,30).V\sim\operatorname{N}(30,30).

Let Z∼N⁡(0,1)Z\sim\operatorname{N}(0,1). Applying a continuity correction,

 P(X<20)≈ P(V<19.5)= P(Z<19.5−3030)= P(Z<−1.917…)≈ 0.0276.\begin{align*} &\,P(X<20)\\[4mm] \approx&\,P(V<19.5)\\[4mm] =&\,P\Big(Z<\frac{19.5-30}{\sqrt{30}}\Big)\\[4mm] =&\,P(Z<-1.917\ldots)\\[4mm] \approx&\,\boxed{0.0276}. \end{align*}