题目
Problem
A baker produces bread buns and bread rolls. The weights of buns, B B B grams, and the weights of rolls, R R R grams, are such that B ∼ N ( 55 , 1.3 2 ) B \sim N(55, 1.3^2) B ∼ N ( 55 , 1. 3 2 ) and R ∼ N ( 51 , 1.2 2 ) R \sim N(51, 1.2^2) R ∼ N ( 51 , 1. 2 2 ) .
A bun and a roll are selected at random.
(a) Find the probability that the bun weighs less than 110% of the weight of the roll.
(5)
Two buns are chosen at random.
(b) Find the probability that their weights differ by more than 1 gram.
(6)
The baker sells bread in bags. Each bag contains either 10 buns or 11 rolls. The weight of an empty bag, S S S grams, is such that S ∼ N ( 3 , 0.2 2 ) S \sim N(3, 0.2^2) S ∼ N ( 3 , 0. 2 2 )
(c) Find the probability that a bag of buns weighs less than a bag of rolls.
(6)
(Total for Question 6 is 17 marks)
题目中文翻译
一位面包师生产面包小圆包和面包卷。小圆包的重量 B B B 克和面包卷的重量 R R R 克分别服从 B ∼ N ( 55 , 1.3 2 ) B \sim N(55, 1.3^2) B ∼ N ( 55 , 1. 3 2 ) 和 R ∼ N ( 51 , 1.2 2 ) R \sim N(51, 1.2^2) R ∼ N ( 51 , 1. 2 2 ) 。
随机选取一个小圆包和一个面包卷。
(a) 求小圆包的重量小于面包卷重量的 110% 的概率。
随机选取两个小圆包。
(b) 求它们重量相差超过 1 克的概率。
这位面包师把面包装袋出售。每袋要么装 10 个小圆包,要么装 11 个面包卷。空袋重量 S S S 克,且 S ∼ N ( 3 , 0.2 2 ) S \sim N(3, 0.2^2) S ∼ N ( 3 , 0. 2 2 ) 。
(c) 求一袋小圆包的总重量小于一袋面包卷的总重量的概率。
解答
(a)
解法一
思路
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把“不足面包卷重量的 110 % 110\% 110% ”写成 B < 1.1 R B<1.1R B < 1.1 R 。令 W = B − 1.1 R W=B-1.1R W = B − 1.1 R ,原事件便成为 W < 0 W<0 W < 0 。由于随机抽取的面包小圆包与面包卷相互独立,W W W 仍服从正态分布,其方差是两个方差相加。
答题过程
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Let
W = B − 1.1 R . W=B-1.1R. W = B − 1.1 R .
Since B B B and R R R are independent,
E ( W ) = 55 − 1.1 ( 51 ) = − 1.1 , \begin{align*}
E(W)=&\,55-1.1(51)\\
=&\,-1.1,
\end{align*} E ( W ) = = 55 − 1.1 ( 51 ) − 1.1 ,
and
Var ( W ) = 1.3 2 + 1.1 2 ( 1.2 2 ) = 3.4324. \begin{align*}
\operatorname{Var}(W)=&\,1.3^2+1.1^2(1.2^2)\\
=&\,3.4324.
\end{align*} Var ( W ) = = 1. 3 2 + 1. 1 2 ( 1. 2 2 ) 3.4324.
Therefore,
W ∼ N ( − 1.1 , 3.4324 ) . W\sim N(-1.1,3.4324). W ∼ N ( − 1.1 , 3.4324 ) .
Hence
P ( B < 1.1 R ) = P ( W < 0 ) = P ( Z < 0 − ( − 1.1 ) 3.4324 ) = P ( Z < 0.5937 … ) = 0.7237 … \begin{align*}
P(B<1.1R)=&\,P(W<0)\\
=&\,P\bigg(Z<\frac{0-(-1.1)}{\sqrt{3.4324}}\bigg)\\
=&\,P(Z<0.5937\ldots)\\
=&\,0.7237\ldots
\end{align*} P ( B < 1.1 R ) = = = = P ( W < 0 ) P ( Z < 3.4324 0 − ( − 1.1 ) ) P ( Z < 0.5937 … ) 0.7237 …
Thus, to 3 significant figures,
P ( B < 1.1 R ) = 0.724 . \boxed{P(B<1.1R)=0.724}. P ( B < 1.1 R ) = 0.724 .
(b)
解法一
思路
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用 B 1 B_1 B 1 、B 2 B_2 B 2 表示两只独立抽取的小圆包重量,并令 X = B 1 − B 2 X=B_1-B_2 X = B 1 − B 2 。两者重量相差超过 1 1 1 克即 ∣ X ∣ > 1 |X|>1 ∣ X ∣ > 1 。由于 X X X 的分布关于 0 0 0 对称,可只求右侧尾部 P ( X > 1 ) P(X>1) P ( X > 1 ) ,再乘以 2 2 2 。
答题过程
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Let B 1 B_1 B 1 and B 2 B_2 B 2 be the weights of the two independently selected buns, and let
X = B 1 − B 2 . X=B_1-B_2. X = B 1 − B 2 .
Then
E ( X ) = 55 − 55 = 0 , Var ( X ) = 1.3 2 + 1.3 2 = 3.38. \begin{align*}
E(X)=&\,55-55=0,\\
\operatorname{Var}(X)=&\,1.3^2+1.3^2=3.38.
\end{align*} E ( X ) = Var ( X ) = 55 − 55 = 0 , 1. 3 2 + 1. 3 2 = 3.38.
Therefore,
X ∼ N ( 0 , 3.38 ) . X\sim N(0,3.38). X ∼ N ( 0 , 3.38 ) .
By symmetry,
P ( ∣ X ∣ > 1 ) = 2 P ( X > 1 ) = 2 P ( Z > 1 3.38 ) = 2 P ( Z > 0.5439 … ) = 0.58649 … \begin{align*}
P(|X|>1)=&\,2P(X>1)\\
=&\,2P\bigg(Z>\frac{1}{\sqrt{3.38}}\bigg)\\
=&\,2P(Z>0.5439\ldots)\\
=&\,0.58649\ldots
\end{align*} P ( ∣ X ∣ > 1 ) = = = = 2 P ( X > 1 ) 2 P ( Z > 3.38 1 ) 2 P ( Z > 0.5439 … ) 0.58649 …
Thus, to 3 significant figures, the required probability is
0.586 . \boxed{0.586}. 0.586 .
(c)
解法一
思路
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分别设一袋小圆包和一袋面包卷的总重量为 V V V 、Y Y Y 。每袋都包含一个独立的空袋重量,因此比较 Y − V Y-V Y − V 时,两个空袋重量的方差都要计入。先求 V V V 与 Y Y Y 的均值和方差,再令 D = Y − V D=Y-V D = Y − V ;所求事件就是 D > 0 D>0 D > 0 。
答题过程
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Let S B S_B S B and S R S_R S R be the independent weights of the empty bags used for the buns and the rolls respectively. Let
V = B 1 + B 2 + ⋯ + B 10 + S B V=B_1+B_2+\cdots+B_{10}+S_B V = B 1 + B 2 + ⋯ + B 10 + S B
be the total weight of a bag of buns, and let
Y = R 1 + R 2 + ⋯ + R 11 + S R Y=R_1+R_2+\cdots+R_{11}+S_R Y = R 1 + R 2 + ⋯ + R 11 + S R
be the total weight of a bag of rolls.
For the bag of buns,
E ( V ) = 10 ( 55 ) + 3 = 553 , Var ( V ) = 10 ( 1.3 2 ) + 0.2 2 = 16.94. \begin{align*}
E(V)=&\,10(55)+3=553,\\
\operatorname{Var}(V)=&\,10(1.3^2)+0.2^2=16.94.
\end{align*} E ( V ) = Var ( V ) = 10 ( 55 ) + 3 = 553 , 10 ( 1. 3 2 ) + 0. 2 2 = 16.94.
Hence
V ∼ N ( 553 , 16.94 ) . V\sim N(553,16.94). V ∼ N ( 553 , 16.94 ) .
For the bag of rolls,
E ( Y ) = 11 ( 51 ) + 3 = 564 , Var ( Y ) = 11 ( 1.2 2 ) + 0.2 2 = 15.88. \begin{align*}
E(Y)=&\,11(51)+3=564,\\
\operatorname{Var}(Y)=&\,11(1.2^2)+0.2^2=15.88.
\end{align*} E ( Y ) = Var ( Y ) = 11 ( 51 ) + 3 = 564 , 11 ( 1. 2 2 ) + 0. 2 2 = 15.88.
Hence
Y ∼ N ( 564 , 15.88 ) . Y\sim N(564,15.88). Y ∼ N ( 564 , 15.88 ) .
Now let
D = Y − V . D=Y-V. D = Y − V .
Since the two bags and all the items selected are independent,
E ( D ) = 564 − 553 = 11 , Var ( D ) = 15.88 + 16.94 = 32.82. \begin{align*}
E(D)=&\,564-553=11,\\
\operatorname{Var}(D)=&\,15.88+16.94=32.82.
\end{align*} E ( D ) = Var ( D ) = 564 − 553 = 11 , 15.88 + 16.94 = 32.82.
Therefore,
D ∼ N ( 11 , 32.82 ) . D\sim N(11,32.82). D ∼ N ( 11 , 32.82 ) .
The required probability is
P ( V < Y ) = P ( D > 0 ) = P ( Z > 0 − 11 32.82 ) = P ( Z > − 1.920 … ) = 0.9726 … \begin{align*}
P(V<Y)=&\,P(D>0)\\
=&\,P\bigg(Z>\frac{0-11}{\sqrt{32.82}}\bigg)\\
=&\,P(Z>-1.920\ldots)\\
=&\,0.9726\ldots
\end{align*} P ( V < Y ) = = = = P ( D > 0 ) P ( Z > 32.82 0 − 11 ) P ( Z > − 1.920 … ) 0.9726 …
Thus, to 3 significant figures,
P ( V < Y ) = 0.973 . \boxed{P(V<Y)=0.973}. P ( V < Y ) = 0.973 .