Question

Difficulty: MediumCompound Events and Probability Laws

Two candidates, XX and YY, sit for an entrance examination independently. If the probability that candidate XX passes is 47\frac{4}{7} and the probability that candidate YY passes is 13\frac{1}{3}, what is the probability that at least one of them passes the examination?

  1. A
    1921\frac{19}{21}
  2. 57\frac{5}{7}Answer
  3. C
    421\frac{4}{21}
  4. D
    821\frac{8}{21}

Answer

The probability that at least one candidate passes the examination is 57\frac{5}{7}.
The probability that at least one candidate passes is given by the union of independent events P(XY)=P(X)+P(Y)P(X)P(Y)P(X \cup Y) = P(X) + P(Y) - P(X)P(Y). Substituting the given values yields 47+13(4713)=1521=57\frac{4}{7} + \frac{1}{3} - \left(\frac{4}{7} \cdot \frac{1}{3}\right) = \frac{15}{21} = \frac{5}{7}. Alternatively, using the complement rule: 1P(X)P(Y)=1(147)(113)=1(3723)=127=571 - P(X')P(Y') = 1 - \left(1 - \frac{4}{7}\right)\left(1 - \frac{1}{3}\right) = 1 - \left(\frac{3}{7} \cdot \frac{2}{3}\right) = 1 - \frac{2}{7} = \frac{5}{7}.

Step-by-Step Solution

1
Identify given probabilities and state independence condition
P(X)=47P(X) = \frac{4}{7} and P(Y)=13P(Y) = \frac{1}{3}. Since XX and YY are independent events, P(XY)=P(X)×P(Y)P(X \cap Y) = P(X) \times P(Y).
Independent events allow the joint probability of both events occurring to be calculated as the product of their individual probabilities.
2
Calculate the intersection probability P(XY)P(X \cap Y)
P(XY)=47×13=421P(X \cap Y) = \frac{4}{7} \times \frac{1}{3} = \frac{4}{21}.
The intersection gives the probability that both candidate XX and candidate YY pass.
3
Apply the general addition law of probability P(XY)=P(X)+P(Y)P(XY)P(X \cup Y) = P(X) + P(Y) - P(X \cap Y)
P(XY)=47+13421=1221+721421=1521=57P(X \cup Y) = \frac{4}{7} + \frac{1}{3} - \frac{4}{21} = \frac{12}{21} + \frac{7}{21} - \frac{4}{21} = \frac{15}{21} = \frac{5}{7}.
The union of two events represents the event that at least one of them occurs.

Key Concept

Probability Laws for Compound and Independent Events

Alternative Method

Using the complementary law of probability: P(at least one passes)=1P(neither passes)=1P(X)P(Y)=1(147)(113)=1(37×23)=127=57P(\text{at least one passes}) = 1 - P(\text{neither passes}) = 1 - P(X')P(Y') = 1 - \left(1 - \frac{4}{7}\right)\left(1 - \frac{1}{3}\right) = 1 - \left(\frac{3}{7} \times \frac{2}{3}\right) = 1 - \frac{2}{7} = \frac{5}{7}.
Estimated Time:1m 30s
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