Practice Joint Probability Mass Function (PMF) - 17.2.1 | 17. Independence of Random Variables | 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

Define a Joint Probability Mass Function.

πŸ’‘ Hint: Think of it as a function relating two outcomes.

Question 2

Easy

Give an example of a discrete random variable.

πŸ’‘ Hint: Focus on countable outcomes.

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Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does Joint PMF indicate?

  • Probability of single events
  • Joint likelihood of two events
  • Marginal distribution

πŸ’‘ Hint: Think about the combined outcomes.

Question 2

True or False: If two random variables are independent, their joint PMF can be expressed as the product of their individual PMFs.

  • True
  • False

πŸ’‘ Hint: Recall the independence formula we discussed.

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Challenge Problems

Push your limits with challenges.

Question 1

You are given a joint PMF where P(X=1, Y=1)=0.5, P(X=1, Y=2)=0.3, and P(X=2, Y=2)=0.2. Check if X and Y are independent.

πŸ’‘ Hint: Sum the probabilities to find marginal values first.

Question 2

You have P(X=1, Y=1)=0.25, P(X=1, Y=2)=0.25, P(X=2, Y=1)=0.25, P(X=2, Y=2)=0.25. Are X and Y independent?

πŸ’‘ Hint: This illustrates proper checking for equality in independence.

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