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.
- A fair six-sided die is rolled once. Find the probability of an even number or a 5.
- A fair six-sided die is rolled once. Find the probability of an even number or a prime number.
- A bag has 4 red counters and 6 black counters. One counter is taken at random. Find the probability that it is not red.
- 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.
- 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.
- 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.
- 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.
- Two events and have and , and they are mutually exclusive. Work out , and explain why this shows that the events are not independent.
- 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.
- Events and are independent with and . Find .
- A component passes inspection with probability . Two components are inspected independently. Find the probability that both pass, to 4 decimal places.
- A fair coin is tossed twice. Event is a head on the first toss. Event is a head on the second toss. Are and 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: .
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: . The union is 2, 3, 4, 5, 6.
3. The probability that the counter is not red
Answer: The complement rule gives . 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: .
5. The probability that both cards are hearts
Answer: A heart is drawn with probability . The first card is replaced, so the draws are independent: .
6. The test for independence
Answer: For independence, compare with . Here and . The two agree, so the events are independent.
7. The test for independence
Answer: Here , while . 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: . Mutually exclusive events cannot happen together, so . Since , the events are not independent. Knowing that happened makes impossible.
9. The probability that the student plays football or tennis
Answer: Use the addition rule and subtract the overlap once: . 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 . Then .
11. The probability that both components pass
Answer: The passes are independent, so multiply: . To 4 decimal places this is .
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 and . The first toss does not change the chance of a head on the second.