Practice Worked Example (Continuous Case) - 15.6 | 15. Marginal Distributions | Mathematics - iii (Differential Calculus) - Vol 3
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does the joint pdf represent in probability theory?

πŸ’‘ Hint: Think about how two random variables can interact.

Question 2

Easy

What is the integral used for when finding marginal distributions?

πŸ’‘ Hint: Recall the definition of marginalization.

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 does the marginal distribution of a variable express?

  • The distribution of the entire population
  • The distribution of a single variable
  • ignoring others
  • Only the joint probability
  • The probability distribution over a range of data

πŸ’‘ 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.

  • True
  • False

πŸ’‘ Hint: Consider the definition of dependency.

Solve 1 more question and get performance evaluation

Challenge Problems

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.

πŸ’‘ 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.

πŸ’‘ Hint: Revisit the definition of independence and how it applies to our findings.

Challenge and get performance evaluation