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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a Probability Density Function?
π‘ 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?
π‘ Hint: Consider how a flat curve looks on a graph!
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does a Probability Density Function represent?
π‘ Hint: Think about how continuous distributions work!
Question 2
True or False: The total area under a PDF equals 1.
π‘ Hint: Consider the normalization property of PDFs.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given a PDF f(x) = 3x^2 for 0 β€ x β€ 1, calculate E[X] and P(X < 0.5).
π‘ 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 β€ x β€ 1. Find the probability P(0.3 β€ X β€ 0.7) and the expected value E[X].
π‘ Hint: Set your integration limits appropriately based on the PDF.
Challenge and get performance evaluation