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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the joint pdf represent in probability theory?
π‘ Hint: Think about how two random variables can interact.
Question 2
Easy
What is the integral used for when finding marginal distributions?
π‘ Hint: Recall the definition of marginalization.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does the marginal distribution of a variable express?
π‘ Hint: Think of how we analyze one aspect at a time.
Question 2
True or False: You can always reconstruct joint pdfs from marginal distributions if the variables are dependent.
π‘ Hint: Consider the definition of dependency.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Consider the joint pdf f(x,y) = 4x^2y^2 for 0 < x < 1, 0 < y < 1. Derive both marginal distributions.
π‘ Hint: Remember to integrate over the other variable to calculate each marginal.
Question 2
Given a joint pdf f(x,y) = xy for 0 < x < 2 and 0 < y < 2, analyze its marginal distributions and check if the variables are independent.
π‘ Hint: Revisit the definition of independence and how it applies to our findings.
Challenge and get performance evaluation