A-level Mathematics

12.1 Mutually exclusive and independent events — Practise

Work through these on your own. For each question, first decide whether the events can overlap, and whether they are independent.

The questions and the answers below come from a set that is checked by computer every time the book is built.

  1. A fair six-sided die is rolled once. Find the probability of an even number or a 5.
  2. A fair six-sided die is rolled once. Find the probability of an even number or a prime number.
  3. A bag has 4 red counters and 6 black counters. One counter is taken at random. Find the probability that it is not red.
  4. A fair coin is tossed and a fair six-sided die is rolled. The two results are independent. Find the probability of a head and a 6.
  5. A card is taken at random from a standard pack of 52 cards, then replaced. A second card is taken at random. Find the probability that both cards are hearts.
  6. A survey of 300 adults records whether each owns a car and whether each owns a bicycle. 180 own a car, 120 own a bicycle, and 72 own both. Show that owning a car and owning a bicycle are independent.
  7. A survey of 250 people records whether each owns a cat and whether each owns a dog. 150 own a cat, 100 own a dog, and 30 own both. Show that owning a cat and owning a dog are not independent.
  8. Two events AA and BB have P(A)=0.3P(A) = 0.3 and P(B)=0.4P(B) = 0.4, and they are mutually exclusive. Work out P(A)×P(B)P(A) \times P(B), and explain why this shows that the events are not independent.
  9. In a class of 30 students, 18 play football, 12 play tennis, and 6 play both. A student is chosen at random. Find the probability that the student plays football or tennis.
  10. Events AA and BB are independent with P(A)=0.5P(A) = 0.5 and P(B)=0.4P(B) = 0.4. Find P(A or B)P(A \text{ or } B).
  11. A component passes inspection with probability 0.9730.973. Two components are inspected independently. Find the probability that both pass, to 4 decimal places.
  12. A fair coin is tossed twice. Event AA is a head on the first toss. Event BB is a head on the second toss. Are AA and BB mutually exclusive? Are they independent? Explain your answers.
Answers and concise solutions

1. The probability of an even number or a 5

Answer: An even number and a 5 cannot happen together, so the events are mutually exclusive. Add the probabilities: 36+16=46=23\dfrac{3}{6} + \dfrac{1}{6} = \dfrac{4}{6} = \dfrac{2}{3}.

2. The probability of an even number or a prime number

Answer: The evens are 2, 4 and 6, and the primes are 2, 3 and 5. The number 2 is in both, so subtract it once: 36+36−16=56\dfrac{3}{6} + \dfrac{3}{6} - \dfrac{1}{6} = \dfrac{5}{6}. The union is 2, 3, 4, 5, 6.

3. The probability that the counter is not red

Answer: The complement rule gives P(not red)=1−P(red)=1−410=610=35P(\text{not red}) = 1 - P(\text{red}) = 1 - \dfrac{4}{10} = \dfrac{6}{10} = \dfrac{3}{5}. This is also the probability of black, because every counter is red or black.

4. The probability of a head and a 6

Answer: For independent events, multiply: P(head and 6)=P(head)×P(6)=12×16=112P(\text{head and } 6) = P(\text{head}) \times P(6) = \dfrac{1}{2} \times \dfrac{1}{6} = \dfrac{1}{12}.

5. The probability that both cards are hearts

Answer: A heart is drawn with probability 1352=14\dfrac{13}{52} = \dfrac{1}{4}. The first card is replaced, so the draws are independent: 14×14=116\dfrac{1}{4} \times \dfrac{1}{4} = \dfrac{1}{16}.

6. The test for independence

Answer: For independence, compare P(both)P(\text{both}) with P(car)×P(bicycle)P(\text{car}) \times P(\text{bicycle}). Here P(both)=72300=625P(\text{both}) = \dfrac{72}{300} = \dfrac{6}{25} and 180300×120300=625\dfrac{180}{300} \times \dfrac{120}{300} = \dfrac{6}{25}. The two agree, so the events are independent.

7. The test for independence

Answer: Here P(both)=30250=325P(\text{both}) = \dfrac{30}{250} = \dfrac{3}{25}, while P(cat)×P(dog)=150250×100250=625P(\text{cat}) \times P(\text{dog}) = \dfrac{150}{250} \times \dfrac{100}{250} = \dfrac{6}{25}. The two values differ, so the events are not independent. Fewer people own both than independence would predict.

8. The product of the probabilities

Answer: P(A)×P(B)=0.3×0.4=0.12=325P(A) \times P(B) = 0.3 \times 0.4 = 0.12 = \dfrac{3}{25}. Mutually exclusive events cannot happen together, so P(A and B)=0P(A \text{ and } B) = 0. Since 0≠0.120 \ne 0.12, the events are not independent. Knowing that AA happened makes BB impossible.

9. The probability that the student plays football or tennis

Answer: Use the addition rule and subtract the overlap once: 18+12−630=2430=45\dfrac{18 + 12 - 6}{30} = \dfrac{24}{30} = \dfrac{4}{5}. The 6 students who play both were counted in each total.

10. The probability of A or B

Answer: First find the overlap. Independence gives P(A and B)=0.5×0.4=0.2P(A \text{ and } B) = 0.5 \times 0.4 = 0.2. Then P(A or B)=0.5+0.4−0.2=0.7=710P(A \text{ or } B) = 0.5 + 0.4 - 0.2 = 0.7 = \dfrac{7}{10}.

11. The probability that both components pass

Answer: The passes are independent, so multiply: 0.973×0.973=0.9467290.973 \times 0.973 = 0.946729. To 4 decimal places this is 0.94670.9467.

12. Mutually exclusive and independent

Answer: The two events are not mutually exclusive, because both can happen: the coins can show head, head. They are independent, because P(A and B)=14P(A \text{ and } B) = \dfrac{1}{4} and P(A)×P(B)=12×12=14P(A) \times P(B) = \dfrac{1}{2} \times \dfrac{1}{2} = \dfrac{1}{4}. The first toss does not change the chance of a head on the second.

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