The independent condition in a hypothesis test refers to the requirement that the samples being compared must be selected independently of each other. This means that the outcome of one sample should not influence or be related to the outcome of the other sample.
Related terms
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.