SUMMARY
The integration of the function y=e^(-(x^2)/2) does not yield an elementary antiderivative, as confirmed by the discussion participants. Instead, numerical methods such as Simpson's Rule and double integrals are suggested for approximating the integral. The double integral method transforms the problem into polar coordinates, allowing for the evaluation of the definite integral from -infinity to infinity, which results in the value √(2π). Additionally, various approximations for the error function (erf) are available online, providing practical solutions for creating Normal Distribution tables.
PREREQUISITES
- Understanding of Normal Distribution and its probability density function (pdf).
- Familiarity with integration techniques, including Integration by Parts and Algebraic Substitution.
- Knowledge of numerical integration methods, such as Simpson's Rule.
- Basic concepts of polar coordinates and double integrals.
NEXT STEPS
- Research the properties and applications of the Error Function (erf).
- Learn about numerical integration techniques, focusing on Simpson's Rule and Trapezoidal Rule.
- Study the transformation of Cartesian coordinates to polar coordinates in double integrals.
- Explore various approximations for the Normal Distribution and their derivations.
USEFUL FOR
Mathematicians, statisticians, data scientists, and anyone involved in statistical analysis or creating Normal Distribution tables will benefit from this discussion.