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What is true about independent (within-sample) random sampling?
Select ALL that apply.
It is required in all inferential statistical techniques covered in an introductory statistics course.
It means that each observation in the population has an equally likely chance of being included in the sample.
It means that each observation in the population is not affected by the other measurements in the sample.
It does not depend on whether the scores in two samples are related or unrelated.