topic 2 answer 1

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Statistics is all about random sampling. So, interestingly enough, without random sampling, “statistics” 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?

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