Practice Random Variables and Probability Distributions - 7.1.1 | 7. Probability Distribution 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 random variable?

πŸ’‘ Hint: Think of it as a representation of outcomes in numbers.

Question 2

Easy

Define a discrete random variable.

πŸ’‘ Hint: Consider examples like dice rolls or number of students.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

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

Question 1

What is the normalization condition for a PDF?

πŸ’‘ Hint: Consider how probabilities relate to areas in geometry.

Question 2

True or false: CDF can give the probability of a random variable being greater than a specific value.

  • True
  • False

πŸ’‘ Hint: Think about what CDF shows and what it doesn't.

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Challenge Problems

Push your limits with challenges.

Question 1

A continuous random variable has a PDF defined as f(x) = kx for 0 ≀ x ≀ 2. Find the value of k and then the probability that X < 1.

πŸ’‘ Hint: Remember to normalize the PDF first, then use integration.

Question 2

The mean of a random variable X is defined by the integral ΞΌ = ∫ x f(x) dx. For the PDF f(x) = 2x (0 ≀ x ≀ 1), calculate the mean.

πŸ’‘ Hint: The integration step is crucial for finding the expected value!

Challenge and get performance evaluation