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Conditional Probability & Bayes' Theorem · Question 69 of 125

E and F are independent events with P(E) = 1/3 and P(F) = 3/5.

Question 69

MediumOriginal question

EE and FF are independent events with P(E)=13P(E) = \frac{1}{3} and P(F)=35P(F) = \frac{3}{5}. Match each probability in List I with its value in List II.

List IList II
A. P(E∩F′)P(E \cap F')I. 1115\frac{11}{15}
B. P(E′∩F)P(E' \cap F)II. 215\frac{2}{15}
C. P(E∪F)P(E \cup F)III. 13\frac{1}{3}
D. P(E∣F′)P(E \mid F')IV. 25\frac{2}{5}
Options for question 69

Show the answer and explanation
CorrectNot quiteAnswer A

Correct answer: A

Explanation

  1. P(E∩F′)=13×25=215P(E \cap F') = \frac{1}{3} \times \frac{2}{5} = \frac{2}{15} and P(E′∩F)=23×35=25P(E' \cap F) = \frac{2}{3} \times \frac{3}{5} = \frac{2}{5}.

  2. P(E∪F)=13+35−15=1115P(E \cup F) = \frac{1}{3} + \frac{3}{5} - \frac{1}{5} = \frac{11}{15}; EE and F′F' are independent, so P(E∣F′)=P(E)=13P(E \mid F') = P(E) = \frac{1}{3}.

Worth noting

Complements of independent events are independent, so each piece is a product of P(E)P(E) or P(E′)P(E') with P(F)P(F) or P(F′)P(F').

Concept
Complements of independent events
Typical time
120 s
Your time
—
The rule this testsIndependent events
Practise this chapter →

Ten questions from Conditional Probability & Bayes' Theorem, at your own pace.

Practise this chapter →

Ten questions from Conditional Probability & Bayes' Theorem, at your own pace.