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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does λ represent in the context of the Poisson distribution?
💡 Hint: Think about the average rate of calls in telecommunications.
Question 2
Easy
Is the Poisson distribution discrete or continuous?
💡 Hint: Consider the type of events it models.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What type of probability does the Poisson distribution deal with?
- Continuous Probability
- Discrete Probability
- Neither
💡 Hint: Think about how events are counted.
Question 2
True or False: The Poisson distribution can be used to model the number of calls received every minute.
- True
- False
💡 Hint: Consider the flexibility of the Poisson model.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A call center receives an average of 30 calls every hour. If one hour represents λ = 30, what is the probability of getting at least 25 calls in the next hour?
💡 Hint: Consider using the complement rule to simplify calculations.
Question 2
In a telecom system, the average arrival rate for SMS messages is λ = 120 messages per hour. Calculate the probability of receiving exactly 80 messages in an hour.
💡 Hint: Ensure to apply the model correctly.
Challenge and get performance evaluation