Practice Variance and Relation to Expectation - 9.1.5 | 9. Expectation (Mean) | Mathematics - iii (Differential Calculus) - Vol 3
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9.1.5 - Variance and Relation to Expectation

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the expectation of a fair 6-sided die?

πŸ’‘ Hint: Add the outcomes and divide by the number of faces.

Question 2

Easy

How do you define variance?

πŸ’‘ Hint: Think about how far each value is from the average.

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 formula for variance?

  • E[XΒ²] - (E[X])Β²
  • E[X] - E[XΒ²]
  • E[XΒ²] + E[X]

πŸ’‘ Hint: Recall the definitions of expectation and variance.

Question 2

True or False: Variance measures how concentrated the mean is.

  • True
  • False

πŸ’‘ Hint: Think about what variance represents.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A random variable X takes values 1, 2, 3 with probabilities 0.2, 0.5, 0.3. Calculate Var(X).

πŸ’‘ Hint: Use the probabilities to find E(X) and E(XΒ²) first.

Question 2

Explain how variance plays a role in the context of stochastic PDEs and provide a specific example.

πŸ’‘ Hint: Link variance with real-life applications in PDEs!

Challenge and get performance evaluation