Learning Outcomes
- Describe the three characteristics of a geometric experiment
There are three main characteristics of a geometric experiment.
- There are one or more Bernoulli trials with all failures except the last one, which is a success. In other words, you keep repeating what you are doing until the first success. Then you stop. For example, you throw a dart at a bullseye until you hit the bullseye. The first time you hit the bullseye is a “success” so you stop throwing the dart. It might take six tries until you hit the bullseye. You can think of the trials as failure, failure, failure, failure, failure, success, STOP.
- In theory, the number of trials could go on forever. There must be at least one trial.
- The probability, [latex]p[/latex], of a success and the probability, [latex]q[/latex], of a failure is the same for each trial. [latex]p+q=1[/latex] and [latex]q=1−p[/latex]. For example, the probability of rolling a three when you throw one fair die is [latex]\frac{1}{6}[/latex], the probability of a failure. The probability of getting a three on the fifth roll is [latex](\frac{5}{6})(\frac{5}{6})(\frac{5}{6})(\frac{5}{6})(\frac{1}{6})=0.0804[/latex]
[latex]X=[/latex] the number of independent trials until the first success.
Example
You play a game of chance that you can either win or lose (there are no other possibilities) until you lose. Your probability of losing is [latex]p=0.57[/latex]. What is the probability that it takes five games until you lose?
Try It
You throw darts at a board until you hit the center area. Your probability of hitting the center area is [latex]p=0.17[/latex]. You want to find the probability that it takes eight throws until you hit the center. What values does [latex]X[/latex] take on?
Example
A safety engineer feels that 35% of all industrial accidents in her plant are caused by failure of employees to follow instructions. She decides to look at the accident reports (selected randomly and replaced in the pile after reading) until she finds one that shows an accident caused by failure of employees to follow instructions. On average, how many reports would the safety engineer expect to look at until she finds a report showing an accident caused by employee failure to follow instructions? What is the probability that the safety engineer will have to examine at least three reports until she finds a report showing an accident caused by employee failure to follow instructions?
Try It
An instructor feels that 15% of students get below a C on their final exam. She decides to look at final exams (selected randomly and replaced in the pile after reading) until she finds one that shows a grade below a C. We want to know the probability that the instructor will have to examine at least ten exams until she finds one with a grade below a C. What is the probability question stated mathematically?
Example
Suppose that you are looking for a student at your college who lives within five miles of you. You know that 55% of the 25,000 students do live within five miles of you. You randomly contact students from the college until one says he or she lives within five miles of you. What is the probability that you need to contact four people?
This is a geometric problem because you may have a number of failures before you have the one success you desire. Also, the probability of a success stays the same each time you ask a student if he or she lives within five miles of you. There is no definite number of trials (number of times you ask a student).
- Let [latex]X=[/latex] the number of ____________ you must ask ____________ one says yes.
- What values does [latex]X[/latex] take on?
- What are [latex]p[/latex] and [latex]q[/latex]?
- The probability question is [latex]P[/latex](_______).
Try It
You need to find a store that carries a special printer ink. You know that of the stores that carry printer ink, 10% of them carry the special ink. You randomly call each store until one has the ink you need. What are [latex]p[/latex] and [latex]q[/latex]?
Candela Citations
- OpenStax, Statistics, Geometric Distribution. Provided by: OpenStax. Located at: https://openstax.org/books/statistics/pages/4-4-geometric-distribution-optional. License: CC BY: Attribution. License Terms: Access for free at https://openstax.org/books/statistics/pages/1-introduction
- Introductory Statistics. Authored by: Barbara Illowsky, Susan Dean. Provided by: Open Stax. Located at: https://openstax.org/books/introductory-statistics/pages/1-introduction. License: CC BY: Attribution. License Terms: Access for free at https://openstax.org/books/introductory-statistics/pages/1-introduction