Computer simulation is used to teach statistics, making it easier to understand complex concepts visually. The paper shows how to use simulation in R to perform a chi-square test, commonly used in statistical methods like testing independence or significance. The study compares empirical and theoretical chi-square distributions, finding that they closely match for large simulations but differ near zero. As the degrees of freedom increase, chi-square approaches a normal distribution.