Random sampling is a method of selecting individuals from a population where every member has an equal chance of being chosen, ensuring the sample is unbiased and representative of the whole population.
"Drawing names from a hat where all names are equally likely to be picked. No favoritism, no convenience, just pure chance. This is how we ensure the sample represents the whole population, not just the easy-to-reach people."
Why it matters: Random Sampling matters because weak data collection can make a polished calculation meaningless. Students need to ask who was included, who was missed, and what population the conclusion can honestly describe.