1. Components Identify the components. 2. Outcomes State how you will model each component using equally likely random digits. 3. Trial Explain how you will combine the components to simulate a trial.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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She is playing a beanbag toss game. She has a 10% chance of hitting the 3-point hole, a 30% chance of hitting the 1-point hole, and a 60% chance of getting 0 points. How many beanbags should she expect to toss to get atleast 8 points?

1. Components Identify the components.
2. Outcomes State how you will model each component using equally likely random digits.
3. Trial Explain how you will combine the components to simulate a trial.
4. Response Variable Define your response variable.
5. Put it all together to run the simulation. Run 10 trials. Carefully record the random numbers, indicating 1)
the corresponding component outcomes and 2) the value of the response variable.
Trial
Components
Response
1
2
3
Transcribed Image Text:1. Components Identify the components. 2. Outcomes State how you will model each component using equally likely random digits. 3. Trial Explain how you will combine the components to simulate a trial. 4. Response Variable Define your response variable. 5. Put it all together to run the simulation. Run 10 trials. Carefully record the random numbers, indicating 1) the corresponding component outcomes and 2) the value of the response variable. Trial Components Response 1 2 3
Trial Components
Response
4
5
6.
7
8
9
10
6. Create a graphic display of response variable and summarize your results (use SUCS)
7. Conclusion Describe what the simulation shows, and interpret your results in the context of the real world.
Don't overstate your case.
Transcribed Image Text:Trial Components Response 4 5 6. 7 8 9 10 6. Create a graphic display of response variable and summarize your results (use SUCS) 7. Conclusion Describe what the simulation shows, and interpret your results in the context of the real world. Don't overstate your case.
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