Practice Properties - 7.2.3.1 | 7. Probability Distribution Function (PDF) | Mathematics - iii (Differential Calculus) - Vol 3
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Properties

7.2.3.1 - Properties

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.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the non-negativity property of a PDF state?

💡 Hint: Think about what probabilities can be.

Question 2 Easy

Write the formula that expresses normalization for a PDF.

💡 Hint: Consider the area under the PDF curve.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the non-negativity property of a PDF imply?

Probabilities can be negative
Probabilities must be zero or greater
Probabilities sum to one

💡 Hint: Reflect on the fundamental nature of probabilities.

Question 2

True or False: The integral of a PDF over its entire range must equal one.

True
False

💡 Hint: Consider what it means for a total probability.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a PDF defined as $$f(x) = 3(1-x)^2$$ for 0 ≤ x ≤ 1, determine whether it is a valid PDF and calculate its mean.

💡 Hint: First, ensure the PDF meets the properties.

Challenge 2 Hard

If the variance of a random variable is known to be 4 and the mean is 5, what can you infer about the dispersion of data points?

💡 Hint: Consider how variance represents spread from the mean.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.