Bootstrapping is a statistical technique that's used to draw an inference about the parameters of population based on the samples drawn from it with replacement and averaging these results out. In the event of sampling with replacement, samples are drawn one after another, and once one sample is drawn from the population, the population is replenished with the sampled data:
In the preceding diagram, there is a dataset that has got multiples components (A, B, C, D, E, F, G, H, and I). To start, we need to draw three samples of the same size. Let's draw Sample 1 randomly and say that the first element turned out to be A. However, ...
