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Bootstrapping on the Web

Recall our cholesterol data displayed in the following table.

Table: Data on blood cholesterol decrease

Man 1 2 3 4 5 6 7 8 9
Decrease 13.75 39.5 -21.0 56.75 10.75 3.25 80.0 41.75 32.5

We wanted to estimate the standard error of the median for which, unlike the mean, there is no standard error formula.

The bootstrap estimates the standard error of the median by repeatedly drawing ``bootstrap samples" from the original data, reevaluating the median for each bootstrap sample, and estimating the standard error of the original median by the observed variability in the bootstrap medians.

A bootstrap sample is a sample of the original size, 9 in this case, drawn randomly but with replacement from the original data set.

Enter a sample size below and watch your web-browser estimate the standard-error of the median for the above data set. You can do this as many times as you wish by clicking on the ``Estimate Std. Error'' button.


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