Practice For Discrete Random Variables - 14.2.1 | 14. Joint Probability 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 pmf for two discrete random variables provide?

💡 Hint: Consider what 'joint' means in the context of probability.

Question 2

Easy

Write the first property of joint probability distributions.

💡 Hint: Think about what probabilities should always be.

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 a joint probability mass function describe?

  • The probability of one random variable
  • The combined probability of two discrete random variables
  • The area under a curve

💡 Hint: Focus on 'joint' – it's about combinations.

Question 2

True or False: A joint pmf must always yield a negative probability.

  • True
  • False

💡 Hint: Probabilities should not dip below zero!

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Challenge Problems

Push your limits with challenges.

Question 1

Suppose you have a joint pmf with P(X=0, Y=1) = 0.3 and P(X=0, Y=2) = 0.2. Calculate the marginal pmf for P(X=0).

💡 Hint: Total all probabilities corresponding to X=0.

Question 2

Given a joint pmf indicating the failure rate of two machines X and Y is connected, show if they are independent or not, and explain why.

💡 Hint: Independence means multiplication of individual probabilities works every time!

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