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

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Question 1

Easy

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

💡 Hint: Add the outcomes and divide by the number of faces.

Question 2

Easy

How do you define variance?

💡 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[X²] - (E[X])²
  • E[X] - E[X²]
  • E[X²] + E[X]

💡 Hint: Recall the definitions of expectation and variance.

Question 2

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

  • True
  • False

💡 Hint: Think about what variance represents.

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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).

💡 Hint: Use the probabilities to find E(X) and E(X²) first.

Question 2

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

💡 Hint: Link variance with real-life applications in PDEs!

Challenge and get performance evaluation