Bootstrapping is a statistical method that involves resampling a dataset to estimate the distribution of a statistic (like the mean, variance, or confidence intervals) without making strong parametric assumptions about the form of the population distribution. It can be particularly useful in situations where the sample size is small or the underlying distribution is not well understood.
### Practical Examples of Bootstrapping
#### Example 1: