Sampling without replacement is a statistical method where each item is selected from a population only once. Once an item is chosen, it is removed from the pool, ensuring that it cannot be selected again. This approach is often used in surveys and experiments to avoid bias and ensure a diverse representation of the population. In contrast to sampling with replacement, where items can be chosen multiple times, sampling without replacement provides a more accurate reflection of the population. This method is particularly useful in situations like lottery draws or quality control in manufacturing, where each selection impacts the remaining options.