Simple random sampling is a method used in statistics to select a subset of individuals from a larger population. In this technique, every member of the population has an equal chance of being chosen. This ensures that the sample is representative, reducing bias and allowing for more accurate conclusions about the entire group. To conduct simple random sampling, researchers can use various methods, such as drawing names from a hat or using random number generators. This approach is often preferred in surveys and experiments because it simplifies the analysis and helps ensure that the results can be generalized to the broader population.