Simple Random Sampling is a basic method used in statistics to select a group of individuals from a larger population. In this technique, every member of the population has an equal chance of being chosen. This randomness helps ensure that the sample accurately represents the population, reducing bias in the results. 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 because it simplifies the analysis and interpretation of data, making it easier to generalize findings to the entire population.