Section 7: Joint Distribution Function, Marginal Probability Mass Function, and Uniform Distribution
Instructions
 This section covers the concepts listed below.
 For each concept, there is a conceptual video explaining it followed by videos working through examples.
 When you have finished the material below, you can go to the next section or return to the main Mathematical Probability page.
Joint Distribution and Joint PMF
Examples
Directions: There are no examples for this video.
Marginal PMF
Examples
Directions: There are no examples for this video.
Joint PMF of Continuous Random Variables
Examples
Directions: There are no examples for this video.
Joint PDF
There is no conceptual video for this topic.
Examples
Directions: The following examples cover the material from the video above.

Joint PMF and Marginal PMF
There is no conceptual video for this topic.
Examples
Directions: The following examples cover the material from the video above.

SelfAssessment Questions
Directions: The following questions are an assessment of your understanding of the material above. If you are not sure of the answers, you may need to rewatch the videos.
Note: These selfassessment questions apply to all the videos listed above on this page.
 What does a joint distribution mean? How is it related to vectorvalued random variables?
 Define the joint probability mass function of two discrete random variables.
 Can we find the joint distribution of two random variables knowing their individual distribution? What about the converse question? Consider both discrete and continuous cases.
Uniform Distribution
Examples
Directions: The following examples cover the material from the video above.


SelfAssessment Questions
Directions: The following questions are an assessment of your understanding of the material above. If you are not sure of the answers, you may need to rewatch the videos.
 How do you find the marginal distributions of the coordinates of a point randomly selected inside a solid of finite volume?