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When Are Re-Sampling Approaches Useful?
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In general, there are two settings in which a re-sampling approach is particularly useful:

1. Perhaps no theoretical null distribution is available. This may be the case if you are testing an unusual null hypothesis $H_0$, or using an unsual test statistic $T$.

2. Perhaps a theoretical null distribution is available, but the assumptions required for its validity do not hold.
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