Practice Definitions and Basics - 14.1 | 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

Define a discrete random variable with an example.

πŸ’‘ Hint: Think of something that can be counted.

Question 2

Easy

What is a joint probability distribution?

πŸ’‘ Hint: Consider how two dice rolls might relate.

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 is a random variable?

πŸ’‘ Hint: Remember the connection to probability outcomes.

Question 2

For discrete random variables, what must the joint pmf always satisfy?

  • Must be negative
  • Must equal to 2
  • Must sum up to 1

πŸ’‘ Hint: Think about the total probability.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a joint pmf for two discrete random variables X and Y, calculate the marginal pmfs and check independence from the provided joint distribution.

πŸ’‘ Hint: Look for the sums to equal 1 and the independence equalities.

Question 2

We have X ~ N(0, σ²) and Y ~ N(0, σ²) as jointly normal random variables. Show that X and Y being uncorrelated implies independence.

πŸ’‘ Hint: Remember the special properties of the normal distribution.

Challenge and get performance evaluation