Random selection refers to how sample members (study participants) are selected from the population for inclusion in the study. It ensures everyone in a population has an equal chance of being selected, promoting representativeness and generalizability.
Imagine you're picking out jellybeans from a jar without looking. You could end up with any flavor because every jellybean had an equal chance of being picked - this is random selection!
Population: In research terms, this refers to all members of a defined group that we are studying or collecting information on for data driven decisions.
Sample: A subset of individuals chosen from a larger set (population).
Sampling Bias: A bias in which certain members of intended population are less likely to be included than others.
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