Practice Poisson Distribution - 5.3 | Introduction to Statistics | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does the Poisson distribution help us model?

💡 Hint: Think about events that happen over time or space.

Question 2

Easy

In the formula P(k; λ), what does 'k' represent?

💡 Hint: It's what you are counting in your event.

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 is λ in the Poisson distribution?

  • The number of events
  • The average rate of occurrences
  • The total time

💡 Hint: It's a mean measure.

Question 2

True or False: The Poisson distribution can model continuous events.

  • True
  • False

💡 Hint: Remember it counts individual occurrences.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A library has an average of 7 visitors per hour. If you want to calculate the probability of exactly 10 visitors arriving in the next hour, what would you do?

💡 Hint: Apply the formula directly for your calculation.

Question 2

An airport processes an average of 20 flights per hour. Calculate the probability of processing exactly 15 flights in the next hour.

💡 Hint: Make sure to remember the Poisson distribution formula.

Challenge and get performance evaluation