How is random sampling characterized?

Random sampling is characterized by its unpredictability and spontaneity, as it involves selecting individuals or observations from a population in such a way that each member has an equal chance of being chosen. This approach ensures that the sample is representative of the larger population, allowing for more generalized conclusions to be drawn without bias. The randomness factor is crucial because it helps to mitigate the risks of bias that can arise when selection is based on specific criteria or patterns.

In contrast, methods that are predictable, methodical, carefully planned, or highly systematic typically fall under other sampling techniques, such as stratified or systematic sampling, which aim to achieve specific objectives or ensure a certain level of control in the selection process. Those methods are more structured and involve systematic approaches to choosing participants rather than the inherent randomness of random sampling.