Practice Expectation and Covariance - 14.6 | 14. Joint Probability Distributions | 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

Calculate the expectation for discrete variable X with values 4, 5, 6 and probabilities 0.1, 0.4, 0.5 respectively.

💡 Hint: Use the formula E[X] = Σx * P(X=x).

Question 2

Easy

What does it mean if Cov(X,Y) = 0?

💡 Hint: Consider the relationship between correlation and covariance.

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 expectation of a random variable?

  • Average value
  • Highest value
  • Lowest value

💡 Hint: Think about how we calculate averages.

Question 2

Is Cov(X,Y) positive, negative, or zero if X and Y are independent?

  • Positive
  • Zero
  • Negative

💡 Hint: Consider the definition of independent variables.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the joint distribution P(X,Y) for X and Y, how do you determine if X and Y are independent?

💡 Hint: Review the independence formula.

Question 2

For a dataset of heights and weights, calculate the correlation coefficient. Explain what it tells you about the relationship.

💡 Hint: Consider the meaning of ρ values in correlation.

Challenge and get performance evaluation