Lesson 10: Using Simulation to Estimate a Probability Simulation is a procedure that will allow you to answer questions about real problems by running.

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Presentation transcript:

Lesson 10: Using Simulation to Estimate a Probability Simulation is a procedure that will allow you to answer questions about real problems by running experiments that closely resemble the real situation

Example 1: How likely is it that a family with three children has all boys or all girls? Let’s assume that a child is equally likely to be a boy or a girl. Instead of observing the result of actual births, a toss of a fair coin could be used to simulate a birth. If the toss results in heads (H), then we could say a boy was born; if the toss results in tails (T), then we could say a girl was born. If the coin is fair (i.e., heads and tails are equally likely), then getting a boy or a girl is equally likely.

Exercises 1-2 Suppose that a family has three children. To simulate the genders of the three children, the coin or number cube or a card would need to be used three times, once for each child. For example, three tosses of the coin resulted in HHT, representing a family with two boys and one girl. Note that HTH and THH also represent two boys and one girl.

#1-2 cont. 1.Suppose a prime number (P) result of a rolled number cube simulates a boy birth, and a non-prime (N) simulates a girl birth. Using such a number cube, list the outcomes that would simulate a boy birth, and those that simulate a girl birth. Are the boy and girl birth outcomes equally likely? 2.Suppose that one card is drawn from a regular deck of cards, a red card (R) simulates a boy birth and a black card (B) simulates a girl birth. Describe how a family of three children could be simulated.

Example 2 Simulation provides an estimate for the probability that a family of three children would have three boys or three girls by performing three tosses of a fair coin many times. Each sequence of three tosses is called a trial. If a trial results in either HHH or TTT, then the trial represents all boys or all girls, which is the event that we are interested in. These trials would be called a “success.” If a trial results in any other order of H’s and T’s, then it is called a “failure.” The estimate for the probability that a family has either three boys or three girls based on the simulation is the number of successes divided by the number of trials. Suppose 100 trials are performed, and that in those 100 trials, 28 resulted in either HHH or TTT. Then the estimated probability that a family of three children has either three boys or three girls would be 28100= 0.28.

Exercises 3-5 Find an estimate of the probability that a family with three children will have exactly one girl using the following outcomes of 50 trials of tossing a fair coin three times per trial. Use H to represent a boy birth, and T to represent a girl birth. HHT HTH HHH TTH THT THT HTT HHH TTH HHH HHT TTT HHT TTH HHH HTH THH TTT THT THT THT HHH THH HTT HTH TTT HTT HHH TTH THT THH HHT TTT TTH HTT THH HTT HTH TTT HHH HTH HTH THT TTH TTT HHT HHT THT TTT HTT

Exercise 4 4. Perform a simulation of 50 trials by rolling a fair number cube in order to find an estimate of the probability that a family with three children will have exactly one girl. a. Specify what outcomes of one roll of a fair number cube will represent a boy, and what outcomes will represent a girl. b. Simulate 50 trials, keeping in mind that one trial requires three rolls of the number cube. List the results of your 50 trials. c. Calculate the estimated probability.

Exercise 5 5. Calculate the theoretical probability that a family with three children will have exactly one girl. a. List the possible outcomes for a family with three children. For example, one possible outcome is BBB (all three children are boys). b. Assume that having a boy and having a girl are equally likely. Calculate the theoretical probability that a family with three children will have exactly one girl. c. Compare it to the estimated probabilities found in parts (a) and (b) above.

Example 3: Basketball Player Suppose that, on average, a basketball player makes about three out of every four foul shots. In other words, she has a 75% chance of making each foul shot she takes. Since a coin toss produces equally likely outcomes, it could not be used in a simulation for this problem. Instead, a number cube could be used by specifying that the numbers 1, 2, or 3 represent a hit, the number 4 represents a miss, and the numbers 5 and 6 would be ignored. Based on the following 50 trials of rolling a fair number cube, find an estimate of the probability that she makes five or six of the six foul shots she takes