ALGORITMOS EN R PARA LA ENSEÑANZA DE LA APROXIMACIÓN DE LA DISTRIBUCIÓN BINOMIAL A LA NORMAL

Abstract

One of the difficulties students from basic courses often show in learning probability and statistics at the university is understanding how the continuous normal probability distribution approximates the discrete binomial probability distribution. In this paper a
didactic proposal is presented consisting in two algorithms, very easy to use, developed with software R which is completely free. These algorithms aim to introduce students in basic concepts of normal approximation to the binomial distribution by means of
graphical representations and tables. They allow an active participation of student in the learning process