7.2.3 - Cumulative Distribution Function (CDF)
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
Define the CDF in your own words.
💡 Hint: Think about how probabilities accumulate.
What is the relation between PDF and CDF?
💡 Hint: Integration leads to cumulative values.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary function of a CDF?
💡 Hint: Recall what cumulative means.
True or False: As x approaches negative infinity, the CDF approaches 1.
💡 Hint: Think about total probability discounting small values.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
Derive the CDF for a PDF given as f(x) = e^(-x) for x ≥ 0.
💡 Hint: Set up the definite integral for the PDF.
For a bimodal distribution with two peaks, how would you outline a method to derive its CDF?
💡 Hint: Think about piecewise functions.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.