Bootstrapping methods and some aspects

This article offers some explanations for the phenomenon and examples for understanding of “Bootstrapping”. The purpose of this article is to defend the view expressed in introduction and prescribe some suggestions from an unexpected but useful source “the bootstrap” where other methods fail to yield required results. We begin by explaining the concept of sampling distribution. After exposing the bootstrap, some examples illustrate how bootstrap exercises can promote understanding of the sampling distribution concept and efficiently useful in predicting the results.