In summary, results derived from the Monte Carlo simulation studies indicate that the estimators based on the sample ranges are slightly less accurate than its competitors, especially as the value of n increases. Such estimators can suffer from a poor performance when the Normal assumption is not satisfied. In particular, the estimators based on sample ranges have a very poor performance when using data generated from the Uniform distribution and n is large. The various estimators can have large relative biases when the samples sizes are smaller than 5.