题目
Maroulla’s calculator can generate random numbers between and inclusive, correct to significant figures. She plans to use her calculator to choose a sample of members from the members in her health club. She numbers the members from to . Then she uses her calculator to generate some random numbers. She multiplies each random number by and rounds up to the next whole number to give the number of a member in the sample. This is called a ‘member number’.
(a) Maroulla’s first random number is .
Find the member number that is produced by this random number.
(b) Find all possible random numbers, correct to decimal places, that would produce the following member numbers.
(i) A member number of .
(ii) A member number of .
(c) Explain briefly how your answers to part (b) show that Maroulla’s method does not produce a random sample.
题目中文翻译
Maroulla 的计算器能够生成介于 与 之间(含端点)、保留 位有效数字的随机数。她计划用计算器从健身俱乐部的 名会员中抽取一个样本。她把会员从 到 编号,然后用计算器生成若干随机数。她将每个随机数乘以 ,再向上取到下一个整数,得到样本中一名会员的编号。这个编号称为“会员编号”。
(a) Maroulla 生成的第一个随机数是 。
求这个随机数产生的会员编号。
(b) 求能产生下列会员编号的所有可能随机数,保留 位小数。
(i) 会员编号为 。
(ii) 会员编号为 。
(c) 简要说明为什么你在 (b) 中的答案表明 Maroulla 的方法无法得到随机样本。
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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先乘以人数,再向上取整。
答题过程
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Since , rounding up gives member number .
(b)(i)
解法一
思路
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向上取整规则对应左开右闭区间,在其中列出符合精度的输出。
答题过程
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For output to give member number ,
so
This is approximately . The possible calculator outputs are .
(b)(ii)
解法一
思路
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同样先解取整不等式,再检查三位小数。
答题过程
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For member number ,
Thus
The interval is approximately , so the only output is .
(c)
解法一
思路
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两个成员对应的等可能输出个数不同,因此选择概率不同。
答题过程
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Two outputs select member , but only one selects member . These outputs are equally likely, so member has twice the selection probability of member . The members do not have equal chances, so the method does not produce a random sample.