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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a continuous random variable?
π‘ Hint: Think of examples like temperature or time.
Question 2
Easy
Which function represents the probability of a continuous RV?
π‘ Hint: Remember, it's a curve that describes probabilities.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of a probability density function?
π‘ Hint: Think about what a PDF represents graphically.
Question 2
The cumulative distribution function ranges from:
π‘ Hint: Consider how probabilities are represented in total.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given the PDF f(x) = 6x(1-x) for 0 β€ x β€ 1, calculate the expectation value E(X) and the variance Var(X).
π‘ Hint: First find the integral for E(X), then use the result to find Var(X).
Question 2
If a continuous random variable has a CDF F(x) = x^3 for 0 β€ x β€ 1, find the PDF and verify it integrates to 1.
π‘ Hint: Differentiate the CDF to find the PDF, then integrate.
Challenge and get performance evaluation