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CIE 9231 2026 June Paper 44 Q3

A Level / CIE / FS

CIE 9231 2026 June Paper 44 Paper · Question 3

题目

Problem

A biologist believes that the masses of a particular species of frog are normally distributed. He randomly selects 120120 frogs of this species and records the mass, xx, of each frog in grams. The results are summarised as follows.

mass, xxx<210x<210210≤x<220210\le x<220220≤x<230220\le x<230230≤x<240230\le x<240240≤x<250240\le x<250250≤x<260250\le x<260x≥260x\ge260
observed frequency2920394082

The biologist uses the masses of these 120120 frogs to calculate unbiased estimates of the mean and variance of the underlying population. He calculates these as 236.5 g236.5\text{ g} and 134.56 g2134.56\text{ g}^2 respectively.

Most of the relevant expected frequencies, correct to 22 decimal places, are given in the following table. The expected frequencies have been calculated using the biologist’s model.

mass, xxx<210x<210210≤x<220210\le x<220220≤x<230220\le x<230230≤x<240230\le x<240240≤x<250240\le x<250250≤x<260250\le x<260x≥260x\ge260
expected frequency1.347.9425.2239.7331.11ccdd

(a) Find the value of cc and the value of dd. Give your answers correct to two decimal places.

(2)

(b) Carry out a goodness of fit test at the 5%5\% significance level to investigate whether a normal distribution is a suitable model for the data.

(7)
题目中文翻译

一位生物学家认为,某种青蛙的质量服从正态分布。他随机选取这种青蛙 120120 只,记录每只青蛙的质量 xx,单位为克。结果汇总如下。

质量 xxx<210x<210210≤x<220210\le x<220220≤x<230220\le x<230230≤x<240230\le x<240240≤x<250240\le x<250250≤x<260250\le x<260x≥260x\ge260
观测频数2920394082

这位生物学家利用这 120120 只青蛙的质量,计算相应总体均值和方差的无偏估计,结果分别为 236.5 g236.5\text{ g} 和 134.56 g2134.56\text{ g}^2。

大部分相应的期望频数如下表所示,均精确到小数点后 22 位。这些期望频数是根据生物学家的模型计算的。

质量 xxx<210x<210210≤x<220210\le x<220220≤x<230220\le x<230230≤x<240230\le x<240240≤x<250240\le x<250250≤x<260250\le x<260x≥260x\ge260
期望频数1.347.9425.2239.7331.11ccdd

(a) 求 cc 和 dd 的值,答案精确到小数点后两位。

(2)

(b) 在 5%5\% 的显著性水平下进行拟合优度检验,考察正态分布是否是这些数据的合适模型。

(7)
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

展开

用给定均值和方差将边界标准化。计算各区间的正态概率,再乘以样本量。

答题过程

展开

Under the fitted model X∼N(236.5,134.56)X\sim N(236.5,134.56), the standard deviation is 11.611.6. Thus

 c=120[Φ(260−236.511.6)− Φ(250−236.511.6)]= 12.10373….\begin{align*} &\,c=120\Big[\Phi\Big(\frac{260-236.5}{11.6}\Big)\\ -&\,\Phi\Big(\frac{250-236.5}{11.6}\Big)\Big]\\ =&\,12.10373\ldots. \end{align*}

The upper-tail expectation is

 d=120[1−Φ(260−236.511.6)]= 2.56673….\begin{align*} &\,d=120\Big[1-\Phi\Big(\frac{260-236.5}{11.6}\Big)\Big]\\ =&\,2.56673\ldots. \end{align*}

To two decimal places, c=12.10c=12.10 and d=2.57d=2.57.

解法二

思路

展开

先用正态区间概率求 cc,再利用全部期望频数的和为 120120 求 dd。使用表中已舍入的数据会改变最后一位。

答题过程

展开

Using X∼N(236.5,11.62)X\sim N(236.5,11.6^2),

c= 120Pr⁡(250≤X<260)= 120[Φ(23.511.6)−Φ(13.511.6)]= 12.10373…≈12.10.\begin{align*} c=&\,120\Pr(250\le X<260)\\ =&\,120\Big[\Phi\Big(\frac{23.5}{11.6}\Big)-\Phi\Big(\frac{13.5}{11.6}\Big)\Big]\\ =&\,12.10373\ldots\approx12.10. \end{align*}

The expected frequencies sum to 120120. Using the rounded table entries and c=12.10c=12.10 gives

d≈ 120−(1.34+7.94+25.22 +39.73+31.11+12.10)= 2.56.\begin{align*} d\approx&\,120-(1.34+7.94+25.22\\ &\,\hspace{2pt}+39.73+31.11+12.10)\\ =&\,2.56. \end{align*}

The difference from the direct upper-tail value 2.572.57 is due to using the rounded entries in the table.

(b)

解法一

思路

展开

两端分别合并期望频数小于 55 的格。均值与方差是用样本估计的,所以再扣除两个自由度。

答题过程

展开

Test H0H_0 that a normal distribution fits the frog masses against H1H_1 that it does not. Combine the first two classes and combine the last two classes. The resulting observed counts are 11,20,39,40,1011,20,39,40,10. Recomputing the expected counts from the fitted normal distribution without intermediate rounding gives approximately 9.2944,25.2203,39.7136,31.1013,14.67059.2944,25.2203,39.7136,31.1013,14.6705. All five exceed 55.

The statistic is

 χ2=∑(O−E)2E= (11−9.2944…)29.2944…+ (20−25.2203…)225.2203…+⋯= 5.43936….\begin{align*} &\,\chi^2=\sum\frac{(O-E)^2}{E}\\ =&\,\frac{(11-9.2944\ldots)^2}{9.2944\ldots}\\ +&\,\frac{(20-25.2203\ldots)^2}{25.2203\ldots}+\cdots\\ =&\,5.43936\ldots. \end{align*}

There are 5−1−2=25-1-2=2 degrees of freedom. The upper 5%5\% critical value is 5.9915.991. Since the statistic is smaller, we fail to reject H0H_0. There is insufficient evidence at the 5%5\% level that a normal distribution is unsuitable for these frog masses.