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IAL 2024 June S3 Q7

A Level / Edexcel / S3

IAL 2024 June Paper · Question 7

题目

Problem

The continuous random variable D is uniformly distributed over the interval [x – 1, x + 5] where x is a constant.

A random sample of n observations of D is taken, where n is large.

(a) Use the Central Limit Theorem to find an approximate distribution for Dˉ\bar D Give your answer in terms of n and x where appropriate.

(3)

The n observations of D have a sample mean of 24.6 Given that the lower bound of the 99% confidence interval for x is 22.101 to 3 decimal places,

(b) find the value of n Show your working clearly.

(5)
(Total for Question 7 is 8 marks)
题目中文翻译

连续随机变量 D 在区间 [x – 1, x + 5] 上均匀分布,其中 x 为常数。

从 D 中抽取 n 个观测值的随机样本,且 n 很大。

(a) 利用中心极限定理求 Dˉ\bar D 的近似分布。 如适用,请用 n 和 x 表示你的答案。

这 n 个 D 的观测值的样本平均数为 24.6。 已知 x 的 99% 置信区间下限为 22.101, 保留到 3 位小数,

(b) 求 n 的值。 请清楚写出你的过程。

解答

(a)

解法一

思路

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先用连续均匀分布的公式求 DD 的均值和方差。由于 nn 很大,中心极限定理说明样本均值近似服从正态分布,其均值不变、方差除以 nn

答题过程

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For the continuous uniform distribution,

E(D)=(x1)+(x+5)2=x+2,\begin{align*} E(D) =&\,\frac{(x-1)+(x+5)}{2}\\ =&\,x+2, \end{align*}

and

Var(D)=((x+5)(x1))212=6212=3.\begin{align*} \operatorname{Var}(D) =&\,\frac{\big((x+5)-(x-1)\big)^2}{12}\\ =&\,\frac{6^2}{12}\\ =&\,3. \end{align*}

By the central limit theorem,

D ˙ N(x+2,3n).\boxed{ \overline D\ \dot\sim\ \operatorname{N}\left(x+2,\frac{3}{n}\right) }.

(b)

解法一

思路

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样本均值 24.624.6 估计的是 x+2x+2,所以 xx 的点估计为 22.622.699%99\% 置信区间使用临界值 2.57582.5758;令“点估计减误差界”等于题给下限 22.10122.101,即可解出 nn

答题过程

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Since E(D)=x+2E(D)=x+2, the point estimate of xx is

x^=24.62=22.6.\widehat x=24.6-2=22.6.

For a 99%99\% confidence interval, z=2.5758z=2.5758. From part (a), the standard error is

3n.\sqrt{\frac{3}{n}}.

Using the given lower confidence limit,

22.62.57583n=22.101,2.57583n=0.499,3n=0.4992.5758,n=3(2.57580.499)2=79.94.\begin{align*} 22.6-2.5758\sqrt{\frac{3}{n}} =&\,22.101,\\ 2.5758\sqrt{\frac{3}{n}} =&\,0.499,\\ \sqrt{\frac{3}{n}} =&\,\frac{0.499}{2.5758},\\ n =&\,3\left(\frac{2.5758}{0.499}\right)^2\\ =&\,79.94\ldots. \end{align*}

Since nn is a whole-number sample size,

n=80.\boxed{n=80}.