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Follow the steps for designing a simulation using a geometric probability model.
See solution.
We are given the results of a survey about the sale of books in each quarter. Let's design a simulation to estimate the probability that a random book will be sold in each quarter. First let's review the steps for designing a simulation.
Let's follow these steps, one at a time.
Since we are interested in the probability that a random book will be sold in each of the 4 quarters of a year, we have 4 possible outcomes. Based on the given information, we will assume that the theoretical probability that a book will be sold in a particular quarter is equal to the given percentages.
Possible Outcomes | Theoretical Probability |
---|---|
January, February, March | 22% |
April, May, June | 23% |
July, August, September | 25% |
October, November, December | 30% |
We will also assume that the trends in selling the books stay approximately constant during the time period.
Since we are asked to use a geometric probability model, we can use a spinner divided into 4 sectors — each sector representing one of the probabilities. Let's calculate the measure of the central angle of each sector.
Possible Outcomes | Measure of the Central Angle |
---|---|
January, February, March | 22%⋅360∘=79.2∘ |
April, May, June | 23%⋅360∘=82.8∘ |
July, August, September | 25%⋅360∘=90∘ |
October, November, December | 30%⋅360∘=108∘ |
Now we are ready to create our spinner. Each trial — one spin of the spinner — will represent the quarter in which a random book is sold.
Finally, let's choose the number of trials to be 50. The results of conducting the described simulation can be recorded in a frequency table and used to evaluate the experimental probabilities. Keep in mind that this is just one possible simulation we can create.