Practice CDF for Discrete and Continuous Random Variables - 8.2 | 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

Define what a CDF is.

💡 Hint: Think about what the function describes.

Question 2

Easy

What is the range of values for a CDF?

💡 Hint: What are the limits of probabilities?

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 CDF for a discrete random variable represent?

  • P(X < x)
  • P(X ≤ x)
  • P(X > x)

💡 Hint: Remember what the CDF is defined as.

Question 2

True or False: The CDF can decrease as x increases.

  • True
  • False

💡 Hint: Think about the probability structure.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Prove that the CDF of a discrete random variable must approach 1 as x approaches infinity.

💡 Hint: Consider how cumulative probabilities work with respect to the definition of total probability.

Question 2

For a continuous random variable defined by f(x) = 4x^(3) on [0,1], find the CDF at x = 0.75 and discuss the behavior near 1.

💡 Hint: Set up your integral for the PDF correctly, and consider limits at the endpoint.

Challenge and get performance evaluation