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CIE 9231 2022 Nov Paper 42 Q4

A Level / CIE / FS

CIE 9231 2022 Nov Paper 42 Paper · Question 4

题目

Problem

The continuous random variable XX has probability density function ff given by

f(x)={k,0≤x<1,kx,1≤x≤2,0,otherwise,f(x)= \begin{cases} k, & 0 \leq x < 1,\\ kx, & 1 \leq x \leq 2,\\ 0, & \text{otherwise}, \end{cases}

where kk is a constant.

(a) Show that k=25k=\frac{2}{5}.

[1]

(b) Find the interquartile range of XX.

[5]

(c) Find Var⁡(X)\operatorname{Var}(X).

[4]
题目中文翻译

连续随机变量 XX 的概率密度函数 ff 为

f(x)={k,0≤x<1,kx,1≤x≤2,0,otherwise,f(x)= \begin{cases} k, & 0 \leq x < 1,\\ kx, & 1 \leq x \leq 2,\\ 0, & \text{otherwise}, \end{cases}

其中 kk 为常数。

(a) 证明 k=25k=\frac{2}{5}。

(1)

(b) 求 XX 的四分位距。

(5)

(c) 求 Var⁡(X)\operatorname{Var}(X)。

(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

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将两段密度分别积分,并令总面积为 11。

答题过程

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The total integral is

 ∫01k dx+∫12kx dx= k+3k2=5k2.\begin{align*} &\,\int_0^1 k\,\mathrm{d}x+\int_1^2kx\,\mathrm{d}x\\ =&\,k+\frac{3k}{2}=\frac{5k}{2}. \end{align*}

Thus 5k/2=15k/2=1 and k=2/5k=2/5.

(b)

解法一

思路

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分界点 x=1x=1 的累计概率是 2/52/5。所以下四分位数在第一段,上四分位数在第二段。

答题过程

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On 0≤x<10\le x<1, the CDF is FX(x)=2x/5F_X(x)=2x/5, so the lower quartile is 5/85/8. On 1≤x≤21\le x\le2, the CDF is

25+∫1x25u du=x2+15.\frac25+\int_1^x\frac25u\,\mathrm{d}u=\frac{x^2+1}{5}.

Setting this equal to 3/43/4 gives x2=11/4x^2=11/4, so the upper quartile is 11/2\sqrt{11}/2. The interquartile range is 11/2−5/8≈1.03\sqrt{11}/2-5/8\approx1.03.

(c)

解法一

思路

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分别积分 xf(x)x f(x) 和 x2f(x)x^2 f(x)。方差等于二阶矩减去均值平方。

答题过程

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The mean is

 E⁡[X]= 25(∫01x dx+∫12x2 dx)= 25([x22]01+[x33]12)= 25(12+73)=1715.\begin{align*} &\,\operatorname E[X]\\ =&\,\frac25\Big(\int_0^1x\,\mathrm{d}x+\int_1^2x^2\,\mathrm{d}x\Big)\\ =&\,\frac25\Big(\Big[\frac{x^2}{2}\Big]_0^1+\Big[\frac{x^3}{3}\Big]_1^2\Big)\\ =&\,\frac25\Big(\frac12+\frac73\Big)=\frac{17}{15}. \end{align*}

The second moment is

 E⁡[X2]= 25(∫01x2 dx+∫12x3 dx)= 25([x33]01+[x44]12)= 25(13+154)=4930.\begin{align*} &\,\operatorname E[X^2]\\ =&\,\frac25\Big(\int_0^1x^2\,\mathrm{d}x+\int_1^2x^3\,\mathrm{d}x\Big)\\ =&\,\frac25\Big(\Big[\frac{x^3}{3}\Big]_0^1+\Big[\frac{x^4}{4}\Big]_1^2\Big)\\ =&\,\frac25\Big(\frac13+\frac{15}{4}\Big)=\frac{49}{30}. \end{align*}

Thus Var⁡(X)=49/30−(17/15)2=157/450\operatorname{Var}(X)=49/30-(17/15)^2=157/450.