Practice CDF and Solution of PDEs (Basic Concept) - 8.6 | 8. Cumulative Distribution Function (CDF) | 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 CDF represent?

💡 Hint: Think about probabilities.

Question 2

Easy

State one property of the CDF.

💡 Hint: Consider how probabilities behave as values increase.

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 F(x) represent in the context of CDF?

  • Probability of X being equal to x
  • Probability of X being less than or equal to x
  • Probability density at x

💡 Hint: Think about the definition of cumulative probabilities.

Question 2

True or False: CDFs can only represent discrete random variables.

  • True
  • False

💡 Hint: Consider the context of continuous distributions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a random field modeled by a stochastic PDE, derive the CDF from its solution and simulate possible outcomes at a given time.

💡 Hint: Think about numerical methods for simulation.

Question 2

Explain how a change in boundary conditions affects the CDF of a solution to a PDE.

💡 Hint: Consider how changes in constraints affect solution behavior.

Challenge and get performance evaluation