题目
三、计算题(共4题,40.0分)22.(计算题,10.0分)有三个工厂的灯泡供应市场,其中甲厂占50%,乙厂占30%,丙厂占20%,又甲、乙、丙厂灯泡的正品率分别为96%,90%,85%,如果买到一个次品灯泡,求此灯泡为乙厂生产的概率。
三、计算题(共4题,40.0分)
22.(计算题,10.0分)
有三个工厂的灯泡供应市场,其中甲厂占50%,乙厂占30%,丙厂占20%,又甲、乙、丙厂灯泡的正品率分别为96%,90%,85%,如果买到一个次品灯泡,求此灯泡为乙厂生产的概率。
题目解答
答案
为了求买到一个次品灯泡且此灯泡为乙厂生产的概率,我们可以使用贝叶斯定理。首先,我们定义以下事件:
- $ A_1 $:灯泡来自甲厂
- $ A_2 $:灯泡来自乙厂
- $ A_3 $:灯泡来自丙厂
- $ B $:灯泡是次品
根据题目,我们已知以下概率:
- $ P(A_1) = 0.5 $
- $ P(A_2) = 0.3 $
- $ P(A_3) = 0.2 $
- $ P(\text{正品} \mid A_1) = 0.96 $ $\Rightarrow$ $ P(B \mid A_1) = 1 - 0.96 = 0.04 $
- $ P(\text{正品} \mid A_2) = 0.90 $ $\Rightarrow$ $ P(B \mid A_2) = 1 - 0.90 = 0.10 $
- $ P(\text{正品} \mid A_3) = 0.85 $ $\Rightarrow$ $ P(B \mid A_3) = 1 - 0.85 = 0.15 $
我们需要求 $ P(A_2 \mid B) $,即在已知灯泡是次品的情况下,此灯泡为乙厂生产的概率。根据贝叶斯定理,我们有:
\[ P(A_2 \mid B) = \frac{P(B \mid A_2) P(A_2)}{P(B)} \]
首先,我们需要计算 $ P(B) $,即灯泡是次品的总概率。根据全概率公式,我们有:
\[ P(B) = P(B \mid A_1) P(A_1) + P(B \mid A_2) P(A_2) + P(B \mid A_3) P(A_3) \]
代入已知值,我们得到:
\[ P(B) = (0.04 \times 0.5) + (0.10 \times 0.3) + (0.15 \times 0.2) \]
\[ P(B) = 0.02 + 0.03 + 0.03 \]
\[ P(B) = 0.08 \]
现在,我们可以代入贝叶斯定理的公式:
\[ P(A_2 \mid B) = \frac{P(B \mid A_2) P(A_2)}{P(B)} = \frac{0.10 \times 0.3}{0.08} = \frac{0.03}{0.08} = \frac{3}{8} = 0.375 \]
因此,买到一个次品灯泡且此灯泡为乙厂生产的概率是 $\boxed{0.375}$。
解析
步骤 1:定义事件和已知概率
- $ A_1 $:灯泡来自甲厂
- $ A_2 $:灯泡来自乙厂
- $ A_3 $:灯泡来自丙厂
- $ B $:灯泡是次品
- $ P(A_1) = 0.5 $,$ P(A_2) = 0.3 $,$ P(A_3) = 0.2 $
- $ P(\text{正品} \mid A_1) = 0.96 $,$ P(\text{正品} \mid A_2) = 0.90 $,$ P(\text{正品} \mid A_3) = 0.85 $
- $ P(B \mid A_1) = 1 - 0.96 = 0.04 $,$ P(B \mid A_2) = 1 - 0.90 = 0.10 $,$ P(B \mid A_3) = 1 - 0.85 = 0.15 $
步骤 2:计算灯泡是次品的总概率 $ P(B) $
\[ P(B) = P(B \mid A_1) P(A_1) + P(B \mid A_2) P(A_2) + P(B \mid A_3) P(A_3) \]
\[ P(B) = (0.04 \times 0.5) + (0.10 \times 0.3) + (0.15 \times 0.2) \]
\[ P(B) = 0.02 + 0.03 + 0.03 \]
\[ P(B) = 0.08 \]
步骤 3:使用贝叶斯定理计算 $ P(A_2 \mid B) $
\[ P(A_2 \mid B) = \frac{P(B \mid A_2) P(A_2)}{P(B)} \]
\[ P(A_2 \mid B) = \frac{0.10 \times 0.3}{0.08} \]
\[ P(A_2 \mid B) = \frac{0.03}{0.08} \]
\[ P(A_2 \mid B) = \frac{3}{8} \]
\[ P(A_2 \mid B) = 0.375 \]
- $ A_1 $:灯泡来自甲厂
- $ A_2 $:灯泡来自乙厂
- $ A_3 $:灯泡来自丙厂
- $ B $:灯泡是次品
- $ P(A_1) = 0.5 $,$ P(A_2) = 0.3 $,$ P(A_3) = 0.2 $
- $ P(\text{正品} \mid A_1) = 0.96 $,$ P(\text{正品} \mid A_2) = 0.90 $,$ P(\text{正品} \mid A_3) = 0.85 $
- $ P(B \mid A_1) = 1 - 0.96 = 0.04 $,$ P(B \mid A_2) = 1 - 0.90 = 0.10 $,$ P(B \mid A_3) = 1 - 0.85 = 0.15 $
步骤 2:计算灯泡是次品的总概率 $ P(B) $
\[ P(B) = P(B \mid A_1) P(A_1) + P(B \mid A_2) P(A_2) + P(B \mid A_3) P(A_3) \]
\[ P(B) = (0.04 \times 0.5) + (0.10 \times 0.3) + (0.15 \times 0.2) \]
\[ P(B) = 0.02 + 0.03 + 0.03 \]
\[ P(B) = 0.08 \]
步骤 3:使用贝叶斯定理计算 $ P(A_2 \mid B) $
\[ P(A_2 \mid B) = \frac{P(B \mid A_2) P(A_2)}{P(B)} \]
\[ P(A_2 \mid B) = \frac{0.10 \times 0.3}{0.08} \]
\[ P(A_2 \mid B) = \frac{0.03}{0.08} \]
\[ P(A_2 \mid B) = \frac{3}{8} \]
\[ P(A_2 \mid B) = 0.375 \]