Practice Solved Examples - 13.1.7 | 13. Probability Density Function (pdf) | 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 a Probability Density Function?

💡 Hint: Think about how probabilities are represented for continuous variables.

Question 2

Easy

In a uniform distribution, is the probability of every outcome the same?

💡 Hint: Consider how a flat curve looks on a graph!

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Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does a Probability Density Function represent?

  • Probabilities at discrete points
  • Probabilities over intervals
  • Only the mean value

💡 Hint: Think about how continuous distributions work!

Question 2

True or False: The total area under a PDF equals 1.

  • True
  • False

💡 Hint: Consider the normalization property of PDFs.

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Challenge Problems

Push your limits with challenges.

Question 1

Given a PDF f(x) = 3x^2 for 0 ≤ x ≤ 1, calculate E[X] and P(X < 0.5).

💡 Hint: Use the integration formula carefully for both calculations.

Question 2

A random variable X follows a triangular distribution with PDF f(x) = 2x for 0 ≤ x ≤ 1. Find the probability P(0.3 ≤ X ≤ 0.7) and the expected value E[X].

💡 Hint: Set your integration limits appropriately based on the PDF.

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