Bootstrapping is a method used in statistics and machine learning to estimate the distribution of a sample statistic by resampling with replacement from the original data. This technique allows researchers to assess the variability of their estimates without needing a large dataset. By repeatedly drawing samples, they can create a distribution of the statistic, which helps in making inferences about the population. In the context of entrepreneurship, bootstrapping refers to starting and growing a business with minimal external funding. Entrepreneurs rely on personal savings, revenue generated from sales, and reinvested profits to finance their operations. This approach encourages careful financial management and resourcefulness, allowing businesses to maintain control and independence.