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Statistics is all about random sampling. So, interestingly enough, without random sampling, â€œstatisticsâ€ as we define the word, would really not exist. But more interestingly still, this could also lead to trickier scenarios. One such situation could be where a study that follows random sampling is actually beneficial, but the exact same study could lead to potential bias at a slightly different setting.
Can you provide an example of this?