Practice Partial Differential Equations - 6 | 6. Random Variables (Discrete and Continuous) | Mathematics - iii (Differential Calculus) - Vol 3
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6 - Partial Differential Equations

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a random variable?

💡 Hint: Think about how outcomes get mapped.

Question 2

Easy

Name two examples of discrete random variables.

💡 Hint: Consider countable outcomes.

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 does a discrete random variable represent?

  • Countable outcomes
  • Uncountable outcomes
  • Only continuous values

💡 Hint: Think about how we categorize outcomes.

Question 2

True or False: A PMF can be used to model continuous random variables.

  • True
  • False

💡 Hint: Recall the definitions of PMF and PDF.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A factory produces light bulbs, with a 5% chance of each bulb being defective. If you randomly select 10 bulbs, model the number of defective bulbs as a binomial distribution. What is the expected number of defective bulbs?

💡 Hint: Consider the probability of defectiveness for each bulb.

Question 2

A car's speed is modeled as a continuous random variable with PDF f(x) = kx for 0 ≤ x ≤ 2. Determine k and then find the CDF.

💡 Hint: Use integration to derive the total area under the PDF.

Challenge and get performance evaluation