The continuous random variable has probability density function for and elsewhere. Find the value of and the expected value .
Answer
The correct answer is — Multiply by ½: E[Y] = ½·(8/3) = 4/3.
Step-by-step solution
- Normalize the density: ∫₀² k y dy = 1.
- Compute the integral: k ∫₀² y dy = k [y²/2]₀² = k·(4/2) = 2k.
- Set 2k = 1, so k = 1/2.
- Expected value: E[Y] = ∫₀² y f(y) dy = ∫₀² y (½ y) dy = ½ ∫₀² y² dy.
- Integrate: ∫₀² y² dy = [y³/3]₀² = 8/3.
- Multiply by ½: E[Y] = ½·(8/3) = 4/3.
Common mistake: Forgetting to square y in the integrand or not normalizing the density.
Concept tested: Normalizing a continuous density and finding expected value.
Published · How this solution was prepared and checked
Related questions
- 1 A bag contains 4 red, 5 blue and 6 green balls. Three balls are drawn without replacement. What is the probability that exactly two of them are red and one is green?
- 2 Two standard dice are rolled. What is the probability that the sum of the two numbers is at least 8?
- 3 A standard deck has 52 cards. What is the probability of drawing a face card (Jack, Queen or King)?
- 4 Solve the second‑order linear homogeneous differential equation y''-5y'+6y=0 and determine the solution that satisfies the initial conditions y(0)=2 and y'(0)=0.
- 5 Let f:R→R be defined by f(x)= x^2, x≤ 1 2x+1, x>1 Find the domain and the range of f.
- 6 Determine for which values of the parameter p the improper integral ∫_1^(∞)dx/x^p converges, and give its value when it converges.