Practice Joint Probability Mass Function (PMF) - 17.2.1 | 17. Independence of Random Variables | Mathematics - iii (Differential Calculus) - Vol 3
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a Joint Probability Mass Function.

💡 Hint: Think of it as a function relating two outcomes.

Question 2

Easy

Give an example of a discrete random variable.

💡 Hint: Focus on countable outcomes.

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 Joint PMF indicate?

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

💡 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

💡 Hint: Recall the independence formula we discussed.

Solve 1 more question and get performance evaluation

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.

💡 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?

💡 Hint: This illustrates proper checking for equality in independence.

Challenge and get performance evaluation