Practice Marginal PDF (Continuous) - 14.3.2 | 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 is the marginal PDF of X if the joint PDF is f(x,y) = 6xy for 0 ≀ x, y ≀ 1?

πŸ’‘ Hint: Integrate 6xy with respect to y from 0 to 1.

Question 2

Easy

State the condition for marginal PDFs in relation to joint PDFs.

πŸ’‘ Hint: Consider the definition of probability density functions.

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 the marginal PDF represent?

  • The probability distribution of multiple variables
  • The distribution of a single variable from a joint distribution
  • The cumulative distribution function

πŸ’‘ Hint: Think about the term 'marginal' and its meaning in statistics.

Question 2

Integration is used to find marginal PDFs because it allows for:

  • True
  • False

πŸ’‘ Hint: Recall the purpose of integration in mathematics.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the joint probability density function f(x,y) = 3x^2y for 0<x<1 and 0<y<1, derive f_X(x) and f_Y(y).

πŸ’‘ Hint: Check your limits and ensure proper integration across defined boundaries.

Question 2

A researcher calculates the marginal PDF of X as f_X(x)=x^2 for xβ‰₯0. If the joint PDF integrates to 1, what does it indicate about Y?

πŸ’‘ Hint: Remember that joint distributions always require summation to 1 across all dimensions.

Challenge and get performance evaluation