Why is simple random sampling without replacement preferred over simple random sampling with replacement?

Simple random sampling without replacement is often preferred because it ensures that each selected individual is unique, which can lead to a more representative sample of the population. This method helps to avoid over-representation of certain individuals and can provide more accurate estimates for population parameters. Additionally, it reduces the variability in sample statistics, making it easier to generalize findings to the larger population. Overall, this method enhances the reliability of the results while maintaining the randomness of the selection process.