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IAL 2025 May Q6

A Level / Edexcel / S1

IAL 2025 May Paper · Question 6

题目

Problem

A company produces small bags of flour and large bags of flour. The weight, XX grams, of flour in a small bag is normally distributed with mean 502502 and standard deviation 33. One of these small bags of flour is selected at random.

(a) (i) Using standardisation find P(X>508)P(X>508)

(2)

(ii) Hence, find P(496<X<508)P(496<X<508)

(2)

A random sample of 44 small bags of flour is taken.

(b) Find the probability that exactly 22 of these small bags each contain more than 508508 grams of flour.

(3)

The weight, YY grams, of flour in a large bag is normally distributed with mean 10241024 and standard deviation σ\sigma. The 8585th percentile for the weight of flour in a large bag is 1038.511038.51 to 22 decimal places.

(c) Show that σ=14\sigma=14 to the nearest gram.

(2)

Given that P(X>k)=P(Y<2k)=pP(X>k)=P(Y<2k)=p, where kk and pp are constants,

(d) (i) find the value of kk

(ii) find the value of pp

(5)

解答

(a)(i)

解法一

思路

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已知 XN(502,32)X\sim N(502,3^2)。标准化时用

Z=Xμσ.\begin{align*} Z=\frac{X-\mu}{\sigma}. \end{align*}

答题过程

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Since

XN(502,32),\begin{align*} X\sim N(502,3^2), \end{align*}

we standardise:

P(X>508)=P(Z>5085023)=P(Z>2).\begin{align*} P(X>508) =&\,P\left(Z>\frac{508-502}{3}\right)\\[3mm] =&\,P(Z>2). \end{align*}

From the standard normal distribution,

P(Z>2)=0.0228.\begin{align*} P(Z>2)=0.0228. \end{align*}

Therefore

P(X>508)=0.0228.\begin{align*} P(X>508)=0.0228. \end{align*}

(a)(ii)

解法一

思路

展开

496496508508 都离均值 502502 相差 66,也就是 22 个标准差。因此中间概率是 11 减去两边尾部概率。上一小题已经求出一边尾部概率是 0.02280.0228

答题过程

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Since

5085023=2\begin{align*} \frac{508-502}{3}=2 \end{align*}

and

4965023=2,\begin{align*} \frac{496-502}{3}=-2, \end{align*}

we have

P(496<X<508)=P(2<Z<2)=12P(Z>2)=12(0.0228)=0.9544.\begin{align*} P(496<X<508) =&\,P(-2<Z<2)\\[3mm] =&\,1-2P(Z>2)\\[3mm] =&\,1-2(0.0228)\\[3mm] =&\,0.9544. \end{align*}

So

P(496<X<508)=0.954.\begin{align*} P(496<X<508)=0.954. \end{align*}

(b)

解法一

思路

展开

每一袋超过 508508 g 的概率是上一小题的 0.02280.0228。抽 44 袋,要求刚好 22 袋超过 508508 g,用二项分布:

(42)p2(1p)2.\begin{align*} \binom42p^2(1-p)^2. \end{align*}

答题过程

展开

Let p=P(X>508)=0.0228p=P(X>508)=0.0228.

For exactly 22 bags out of 44,

P(exactly 2)=(42)p2(1p)2=6(0.0228)2(10.0228)2=0.002978.\begin{align*} P(\text{exactly }2) =&\,\binom42p^2(1-p)^2\\[3mm] =&\,6(0.0228)^2(1-0.0228)^2\\[3mm] =&\,0.002978\ldots. \end{align*}

Therefore the probability is

0.00298\begin{align*} 0.00298 \end{align*}

to 33 significant figures.

(c)

解法一

思路

展开

1038.511038.51 是第 8585 百分位,所以

P(Y<1038.51)=0.85.\begin{align*} P(Y<1038.51)=0.85. \end{align*}

查标准正态表,左侧概率 0.850.85 对应 z1.0364z\approx1.0364。建立标准化方程即可。

答题过程

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Since 1038.511038.51 is the 8585th percentile,

P(Y<1038.51)=0.85.\begin{align*} P(Y<1038.51)=0.85. \end{align*}

The corresponding standard normal value is

z=1.0364.\begin{align*} z=1.0364\ldots. \end{align*}

Hence

1038.511024σ=1.0364σ=14.511.0364=14.000.\begin{align*} \frac{1038.51-1024}{\sigma} =&\,1.0364\ldots\\[3mm] \sigma =&\,\frac{14.51}{1.0364\ldots}\\[3mm] =&\,14.000\ldots. \end{align*}

Therefore

σ=14\begin{align*} \sigma=14 \end{align*}

to the nearest gram.

(d)(i)

解法一

思路

展开

两个概率相等:

P(X>k)=P(Y<2k).\begin{align*} P(X>k)=P(Y<2k). \end{align*}

由于一个是右尾、一个是左尾,要让面积相等,标准化后的边界应互为相反数。也就是

k5023=10242k14.\begin{align*} \frac{k-502}{3}=\frac{1024-2k}{14}. \end{align*}

答题过程

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For XX,

P(X>k)=P(Z>k5023).\begin{align*} P(X>k)=P\left(Z>\frac{k-502}{3}\right). \end{align*}

For YY,

P(Y<2k)=P(Z<2k102414).\begin{align*} P(Y<2k)=P\left(Z<\frac{2k-1024}{14}\right). \end{align*}

For these probabilities to be equal, the two cut-off values are opposite in sign:

k5023=2k102414.\begin{align*} \frac{k-502}{3}=-\frac{2k-1024}{14}. \end{align*}

So

k5023=10242k1414(k502)=3(10242k)14k7028=30726k20k=10100k=505.\begin{align*} \frac{k-502}{3} =&\,\frac{1024-2k}{14}\\[3mm] 14(k-502)=&\,3(1024-2k)\\[3mm] 14k-7028=&\,3072-6k\\[3mm] 20k=&\,10100\\[3mm] k=&\,505. \end{align*}

(d)(ii)

解法一

思路

展开

k=505k=505 回到 P(X>k)P(X>k)。因为 50550550250233,刚好是 11 个标准差。

答题过程

展开

Using k=505k=505,

p=P(X>505)=P(Z>5055023)=P(Z>1)=0.1587.\begin{align*} p =&\,P(X>505)\\[3mm] =&\,P\left(Z>\frac{505-502}{3}\right)\\[3mm] =&\,P(Z>1)\\[3mm] =&\,0.1587\ldots. \end{align*}

Therefore

p=0.159\begin{align*} p=0.159 \end{align*}

to 33 significant figures.