Another bootstrap distribution of the trimmed mean.

Chapter , Problem 16.26

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Another bootstrap distribution of the trimmed mean. Bootstrap distributions and quantities based on them differ randomly when we repeat the resampling process. A key fact is that they do not differ very much if we use a large number of resamples. Figure 16.9 (page 16-15) shows one bootstrap distribution of the trimmed mean of the GPA data. Repeat the resampling of these data to get another bootstrap distribution of the trimmed mean. GPA (a) Plot the bootstrap distribution and compare it with Figure 16.9. Are the two bootstrap distributions similar? (b) What are the values of the bias and bootstrap standard error for your new bootstrap distribution? How do they compare with the previous values given on page 16-15? (c) Find the 95% bootstrap t confidence interval based on your bootstrap distribution. Compare it with the previous result in Example 16.5 (page 16-16).

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