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Inference and bias

You've seen that some things depend heavily on your sample, while others are completely independent of it. Being able to separate these two is extremely important in statistical inference. If some outcome isn't what you expect, it is important to know if changing your sample will change that outcome.

For each of the options below, classify them according to whether or not they are determined by your choice of a sample.

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Foundations of Inference in Python

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