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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the joint pdf represent for continuous variables?
π‘ Hint: Think about how this relates to probabilities over an area.
Question 2
Easy
State one property of joint distributions for continuous random variables.
π‘ Hint: Recall the implications of negative probabilities.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which of the following must always be true for a joint pdf?
π‘ Hint: Consider why probabilities require summation to be meaningful.
Question 2
True or False: A joint pdf is always greater than or equal to zero.
π‘ Hint: Reflect on the nature of probabilities.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Given a joint pdf f(x,y) = Kxy for 0 β€ x β€ 1 and 0 β€ y β€ 1, find the value of K ensuring that the total probability is 1.
π‘ Hint: Use double integration and the limits of x and y to find K.
Question 2
Create a joint probability distribution function for two variables, x and y, and verify its properties.
π‘ Hint: Construct the joint pdf meaningfully based on real-world data or scenarios.
Challenge and get performance evaluation