题目
Problem
A company produces bricks.
The weight of a brick, B kg, is such that B∼N(1.96,(0.003)2).
Two bricks are chosen at random.
(a) Find the probability that the difference in weight of the 2 bricks is greater than 0.1 kg
(5)
A random sample of n bricks is to be taken.
(b) Find the minimum sample size such that the probability of the sample mean being greater than 2 is less than 1%
(5)
The bricks are randomly selected and stacked on pallets.
The weight of an empty pallet, E kg, is such that E∼N(21.8,(0.6)2).
The random variable M represents the total weight of a pallet stacked with 500 bricks.
The random variable T represents the total weight of a container of cement.
Given that T is independent of M and that T∼N(774,(1.8)2)
(c) calculate P(4T>100+3M)
(7)
(Total 17 marks)
题目中文翻译
一家公司生产砖块。
砖块重量 B kg 服从 B∼N(1.96,(0.003)2)。
随机选取 2 块砖。
(a) 求这 2 块砖重量差大于 0.1 kg 的概率。
随机抽取 n 块砖组成样本。
(b) 求最小样本量,使样本均值大于 2 的概率小于 1%。
砖块被随机选取并堆放在托盘上。
空托盘的重量 E kg 服从 E∼N(21.8,(0.6)2)。
随机变量 M 表示装有 500 块砖的托盘总重量。
随机变量 T 表示一箱水泥的总重量。
已知 T 与 M 独立,且 T∼N(774,(1.8)2)。
(c) 计算 P(4T>100+3M)。
解答
(a)
解法一
思路
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令 D=B1−B2。两块砖独立且同分布,所以 D 的均值为 0,方差为两个方差之和 0.006。“重量差大于 0.1”包括 D>0.1 与 D<−0.1 两种对称情形,因此需把单侧概率乘以 2。
答题过程
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Let
D=B1−B2.
Since the two bricks are selected independently,
E(D)==1.96−1.960,
and
Var(D)==0.003+0.0030.006.
Thus D∼N(0,0.006). By symmetry,
P(∣B1−B2∣>0.1)====≈2P(D>0.1)2P(Z>0.0060.1)2P(Z>1.2909…)0.1967…0.197.
(b)
解法一
思路
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先写出样本均值的分布,其方差为总体方差除以 n。要使右尾概率小于 0.01,数值 2 标准化后的 z 值必须大于标准正态分布第 99 百分位数 2.3263。解出 n 的严格下界后取最小整数。
答题过程
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The sample mean has distribution
B∼N(1.96,n0.003).
Therefore,
P(B>2)=P(Z>0.003/n2−1.96).
For this probability to be less than 0.01,
0.003/n2−1.96>2.3263.
Hence
0.0030.04n>n>n>2.32630.042.32630.00310.146…
Therefore, the minimum sample size is
n=11.
(c)
解法一
思路
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先把托盘总重写成空托盘与 500 块独立砖重之和,求出 M 的均值和方差。再令 X=4T−3M,把目标事件改写成 X>100。独立正态变量的线性组合仍为正态分布,计算方差时系数要平方。
答题过程
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The total pallet weight is
M=E+i=1∑500Bi.
Therefore,
E(M)==21.8+500(1.96)1001.8,
and
Var(M)==0.6+500(0.003)2.1.
Hence
M∼N(1001.8,2.1).
Let
X=4T−3M.
Since T and M are independent,
E(X)==4(774)−3(1001.8)90.6,
and
Var(X)==42(1.8)+(−3)2(2.1)47.7.
Thus X∼N(90.6,47.7), and
P(4T>100+3M)====≈P(X>100)P(Z>47.7100−90.6)P(Z>1.3610…)0.08675…0.0868.