3. Data collected by Erik, a lobsterman in Maine, suggest that he traps an average of 4.8 lobsters per pot (i.e. trap). a. What is the probability the next pot Erik pulls in contains four lobsters? b. What is the likelihood the next pot Erik pulls in contains more than five lobsters? c. On a particular morning, Erik pulls in 20 pots. What is the probability he trapped between 85 and 110 lobsters?
3. Data collected by Erik, a lobsterman in Maine, suggest that he traps an average of 4.8 lobsters per pot (i.e. trap). a. What is the probability the next pot Erik pulls in contains four lobsters? b. What is the likelihood the next pot Erik pulls in contains more than five lobsters? c. On a particular morning, Erik pulls in 20 pots. What is the probability he trapped between 85 and 110 lobsters?
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Random Variables - Question 3.0
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Transcribed Image Text:### Lobstering Data Analysis
**3. Data collected by Erik, a lobsterman in Maine, suggest that he traps an average of 4.8 lobsters per pot (i.e., trap).**
#### Questions:
**a. What is the probability the next pot Erik pulls in contains four lobsters?**
**b. What is the likelihood the next pot Erik pulls in contains more than five lobsters?**
**c. On a particular morning, Erik pulls in 20 pots. What is the probability he trapped between 85 and 110 lobsters?**
This data analysis will help understand the probability distribution related to Erik's lobster trapping activities. To solve these questions, we might use the Poisson distribution or other relevant statistical methods.
Exploration of these probabilities can enrich students' understanding of real-world applications of probability theory.
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