14.3.1 - Marginal PMF (Discrete)
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is the formula for calculating the marginal PMF of variable X?
💡 Hint: Think about how you want to isolate the variable X.
Provide an example of a discrete random variable.
💡 Hint: Consider discrete outcomes from an experiment.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the marginal PMF of variable X?
💡 Hint: Remember the formula for marginal PMF!
Marginal PMFs help in understanding the relationship between variables. True or False?
💡 Hint: Reflect on the importance of isolating each variable.
1 more question available
Challenge Problems
Push your limits with advanced challenges
A joint PMF is defined as follows: \( P(X=0, Y=0) = 0.1, P(X=0, Y=1) = 0.2, P(X=1, Y=0) = 0.3, P(X=1, Y=1) = 0.4 \). If you add a new variable Z such that Z can take values 1 or 0, how does that affect the calculation of marginal PMFs for X?
💡 Hint: Focus on how new variables interact with existing distributions.
If two discrete random variables X and Y have identical marginal distributions but are dependent, provide a scenario in which this can occur.
💡 Hint: Think about variables where one's outcome affects the other.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.