SUMMARY
The expected value of a continuous random variable with the given probability density function (PDF) is calculated using two integrals due to the piecewise nature of the function. The PDF is defined as f(x) = 1/12 for 0 < x <= 3 and f(x) = x/18 for 3 < x <= 6. The expected value E(X) is computed as E(X) = (1/12) ∫(0 to 3) x dx + (1/18) ∫(3 to 6) x² dx. This approach effectively handles the two intervals of the PDF.
PREREQUISITES
- Understanding of probability density functions (PDFs)
- Knowledge of integration techniques in calculus
- Familiarity with piecewise functions
- Basic concepts of expected value in statistics
NEXT STEPS
- Study integration of piecewise functions in calculus
- Learn about probability density functions and their properties
- Explore the concept of expected value in continuous random variables
- Practice solving integrals involving polynomial functions
USEFUL FOR
Students in statistics or mathematics, educators teaching probability theory, and data analysts working with continuous random variables.