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CIE 9709 2023 June Paper 62 Q6

A Level / CIE / S2

CIE 9709 2023 June Paper 62 Paper · Question 6

题目

Problem

When a child completes an online exercise called a Mathlit, they might be awarded a medal. The publishers claim that the probability that a randomly chosen child who completes a Mathlit will be awarded a medal is 13\dfrac13. Asha wishes to test this claim. She decides that if she is awarded no medals while completing 1010 Mathlits, she will conclude that the true probability is less than 13\dfrac13.

(a) Use a binomial distribution to find the probability of a Type I error.

(2)

The true probability of being awarded a medal is denoted by pp.

(b) Given that the probability of a Type II error is 0.89260.8926, find the value of pp.

(3)
题目中文翻译

孩子完成一项名为 Mathlit 的在线练习时,有可能获得一枚奖牌。发布者声称,从完成一项 Mathlit 的孩子中随机选取一人,该孩子获得奖牌的概率为 13\dfrac13。Asha 想检验这一说法。她决定,如果自己完成 1010 项 Mathlit 却没有获得任何奖牌,就认定真实概率小于 13\dfrac13。

(a) 用二项分布求发生第一类错误的概率。

(2)

获得奖牌的真实概率记为 pp。

(b) 已知发生第二类错误的概率为 0.89260.8926,求 pp 的值。

(3)
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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第一类错误为中奖概率确实为1/3时,因10次全无奖而拒绝原假设。

答题过程

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Let MM be the number of medals in the 10 Mathlits. Under H0:p=13H_0:p=\frac13,

M∼B(10,13).M\sim\mathrm{B}\bigg(10,\frac13\bigg).

The rejection region is M=0M=0. Thus

 P(Type I error)= (23)10≈ 0.0173(3 s.f.).\begin{align*} &\,\mathrm{P}(\text{Type I error})\\[4mm] =&\,\bigg(\frac23\bigg)^{10}\\[4mm] \approx&\,\boxed{0.0173}\quad\text{(3 s.f.).} \end{align*}

(b)

解法一

思路

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真实概率为p时,第二类错误是至少得到一枚奖牌而未拒绝原假设,其概率为1减去零枚的概率。

答题过程

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A Type II error occurs when the null hypothesis is not rejected despite the true medal probability being less than 13\frac13. Thus

1−(1−p)10=0.8926.1-(1-p)^{10}=0.8926.

Hence

(1−p)10=0.1074.(1-p)^{10}=0.1074.

Therefore

p= 1−(0.1074)1/10= 0.1999808….\begin{align*} p=&\,1-(0.1074)^{1/10}\\[4mm] =&\,0.1999808\ldots. \end{align*}

Therefore p=0.200\boxed{p=0.200} (3 s.f.).