Next: Errors of Histograms
Up: COMPUTATIONAL SCIENCE SIMULATION
Previous: Histogram Formalism I
- The means and standard deviations

- Standard deviation

- Define

- The central limit theorem applies to
or to

- This gives
and
is Gaussianly
distributed with error

Geoffrey Fox, Northeast Parallel Architectures Center at Syracuse University, gcf@npac.syr.edu