Practice Cumulative Distribution Function (CDF) - 13.1.4 | 13. Probability Density Function (pdf) | Mathematics - iii (Differential Calculus) - Vol 3
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Cumulative Distribution Function (CDF)

13.1.4 - Cumulative Distribution Function (CDF)

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the CDF represent?

💡 Hint: Think about what kind of probability it describes.

Question 2 Easy

What is one property of a CDF?

💡 Hint: Consider how the probability changes as the value increases.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the cumulative distribution function?

A function for discrete variables
A function defining cumulative probabilities
A random variable

💡 Hint: Recall what cumulative means.

Question 2

True or False: The CDF at positive infinity equals 1.

True
False

💡 Hint: Think about certainty in probabilities.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a continuous random variable with a PDF of f(x) = 2x for 0 ≤ x ≤ 1, determine the CDF and graph it.

💡 Hint: Use the fundamental theorem of calculus for integration.

Challenge 2 Hard

Explain how CDFs can assist in decision-making within risk management frameworks.

💡 Hint: Consider how probabilities directly inform decisions.

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