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Zorluk: Çok zorProbability of Independent, Dependent, and Mutually Exclusive Events

A quality inspection bin contains 66 components manufactured by Line 1 and 44 components manufactured by Line 2. Two components are drawn randomly from the bin sequentially, without replacement. Let BB be the event that the second component drawn is manufactured by Line 1, and let CC be the event that at least one of the two components drawn is manufactured by Line 2. What is the conditional probability P(BC)P(B \mid C)?

  1. 25\frac{2}{5}Cevap
  2. B
    415\frac{4}{15}
  3. C
    35\frac{3}{5}
  4. D
    49\frac{4}{9}
  5. E
    23\frac{2}{3}

Cevap

The conditional probability P(BC)P(B \mid C) is 25\frac{2}{5}.
To find P(BC)P(B \mid C), we evaluate the ratio P(BC)P(C)\frac{P(B \cap C)}{P(C)}. The probability of event CC (at least one component from Line 2) is most easily found by taking the complement of drawing two Line 1 components: 16×510×9=60901 - \frac{6 \times 5}{10 \times 9} = \frac{60}{90}. For event BCB \cap C to occur, the second component must be Line 1 and at least one component must be Line 2, meaning the sequence must be (Line 2, Line 1), which has probability 4×610×9=2490\frac{4 \times 6}{10 \times 9} = \frac{24}{90}. Dividing 2490\frac{24}{90} by 6090\frac{60}{90} yields 2460=25\frac{24}{60} = \frac{2}{5}.

Adım Adım Çözüm

1
Calculate the total number of outcomes for drawing two components sequentially without replacement.
Total outcomes = 10×9=9010 \times 9 = 90.
There are 10 components available for the first selection and 9 remaining components for the second selection.
2
Determine the probability of event CC (at least one component from Line 2) using the complement rule.
P(C)=1P(both from Line 1)=16×590=13090=6090=23P(C) = 1 - P(\text{both from Line 1}) = 1 - \frac{6 \times 5}{90} = 1 - \frac{30}{90} = \frac{60}{90} = \frac{2}{3}.
The complement of having at least one component from Line 2 is having both components drawn from Line 1.
3
Determine the probability of the joint event BCB \cap C.
P(BC)=P(first from Line 2 AND second from Line 1)=4×690=2490=415P(B \cap C) = P(\text{first from Line 2 AND second from Line 1}) = \frac{4 \times 6}{90} = \frac{24}{90} = \frac{4}{15}.
For event BB (second is Line 1) and event CC (at least one is Line 2) to occur simultaneously, the first component must be from Line 2 and the second from Line 1.
4
Apply the conditional probability formula P(BC)=P(BC)P(C)P(B \mid C) = \frac{P(B \cap C)}{P(C)}.
P(BC)=24/9060/90=2460=25P(B \mid C) = \frac{24/90}{60/90} = \frac{24}{60} = \frac{2}{5}.
The conditional probability isolates the probability of event BB within the reduced sample space where event CC has occurred.

Anahtar Kavram

Conditional Probability and Dependent Sequential Events
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