SUMMARY
The discussion focuses on proving that E[Y^4] = 3 for a standard normal random variable Y ~ N(0,1). Participants explore two main equations: E[(Y-mu)^4]/[E(Y-mu)^2]^2 = 3 and E(Y^4) = 1/sqrt(2pi) * integral(y^4 * e^(-y^2/2)). Users suggest using integration by parts and substitutions to simplify the integral, with one participant successfully applying these techniques to derive the correct result. The consensus indicates that the first equation is not necessary for solving the problem.
PREREQUISITES
- Understanding of expected values in probability theory
- Familiarity with standard normal distribution properties
- Proficiency in integration techniques, particularly integration by parts
- Knowledge of gamma distribution and its relation to normal distribution
NEXT STEPS
- Learn advanced integration techniques, specifically integration by parts
- Study the properties of the gamma distribution and its relationship to normal distributions
- Explore the derivation of moments for normal distributions
- Investigate the use of substitutions in integrals involving exponential functions
USEFUL FOR
Students and professionals in statistics, mathematicians focusing on probability theory, and anyone interested in deriving moments of probability distributions.