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Data Analysis with R - Second Edition by Tony Fischetti

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Summary

To review, in this chapter we explored another powerful method for interval estimation and, to a certain extent, hypothesis testing. First, we put this technique in context to be appealing to the similarity with the resampling simulations we performed in earlier chapters. We learned that the bootstrap is a lot like building sampling distributions from population data, but by sampling with replacement from our sample data instead.

We saw examples of the results from the bootstrap procedure, and noted that it is often congruent with results from parametric interval estimation techniques. In spite of this, we learned about what makes the bootstrap different from other alternatives, what makes it special, and an honest look at some of ...

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