Random Sampling: Randomly selecting individuals from a population ensures independence because it eliminates bias and allows for generalization.
Simple Random Sample: A subset of individuals chosen from a larger population in such a way that every individual has an equal chance of being selected. This helps ensure independence by avoiding any systematic pattern in the selection process.
Stratified Sampling: Dividing a population into subgroups based on certain characteristics and then randomly sampling from each subgroup separately. This technique helps maintain independence while ensuring representation from different groups within the population.