Practice Random Variables: Discrete vs Continuous - 13.1.1 | 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 discrete random variable? Provide an example.

πŸ’‘ Hint: Think of variables that can be counted easily.

Question 2

Easy

What is one property of a PDF?

πŸ’‘ Hint: Think about the chances of probability being negative.

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 type of random variable can take on countable values?

  • Discrete Random Variable
  • Continuous Random Variable
  • Both

πŸ’‘ Hint: Think about whether the values can be counted.

Question 2

True or False: The total area under a PDF is always equal to one.

  • True
  • False

πŸ’‘ Hint: Consider how probabilities sum up across all outcomes.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a PDF defined as f(x) = 1/3 for 0 ≀ x ≀ 3 and 0 otherwise, calculate P(1 ≀ X ≀ 2).

πŸ’‘ Hint: Use the integral of the PDF over the specified interval.

Question 2

For a continuous variable with mean ΞΌ and variance σ², derive the PDF for the normal distribution.

πŸ’‘ Hint: Consider the characteristics of normal distributions and their symmetrical properties.

Challenge and get performance evaluation