Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: What Teachers Should Know about the Bootstrap: Resampling in the
  Undergraduate Statistics Curriculum   I have three goals in this article: (1) To show the enormous potential of
bootstrapping and permutation tests to help students understand statistical
concepts including sampling distributions, standard errors, bias, confidence
intervals, null distributions, and P-values. (2) To dig deeper, understand why
these methods work and when they don't, things to watch out for, and how to
deal with these issues when teaching. (3) To change statistical practice---by
comparing these methods to common t tests and intervals, we see how inaccurate
the latter are; we confirm this with asymptotics. n >= 30 isn't enough---think
n >= 5000. Resampling provides diagnostics, and more accurate alternatives.
Sadly, the common bootstrap percentile interval badly under-covers in small
samples; there are better alternatives. The tone is informal, with a few
stories and jokes.

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The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
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The categories of this paper are: cmp-lg
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The categories of this paper are: mtrl-th
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The categories of this paper are: patt-sol
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-ex
2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
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The categories of this paper are: chem-ph
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The categories of this paper are: funct-an
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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: math-ph
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The categories of this paper are: econ