Montecarlo Techniques as a tool for teaching statistics
  Probability Theory and Statistics are two of the most useful mathematical fields, and also two of the most difficult to learn. In other science fields, as Physics, experimentation is an useful tool to develop students intuition, but the application of this tool to Statistics is much more difficult. In this paper we show how Monte Carlo techniques can be used to perform numerical experiments, by the use of pseudorandom numbers, and how these experiments can help to the understanding of Statistics and Physics. Monte Carlo techniques are broadly used in scientific research, but they are learnt usually in very specific curses of higher education. By the use of computer simulation these techniques can also be taught at elementary school and they can help to understand and visualise concepts as variance, mean or a probability distribution function. Finally, the use of new technologies, as Javascript and HTML is discussed. 
FM Alexander Bueno and Daniel Manzano
physics.ed-ph