Bootstrap Estimate of Bias

This applet computes a bias corrected estimate for a standard deviation using bootstrap samples.

How to use the applet

  1. Enter values for the true mean, eqn, and true standard deviation, eqn, into the cells at the top. Note, these two cells act like a spreadsheet application; to change an entry, click on it, delete the current value, type a new one, and then press enter.
  2. Choose a sample size, eqn, from the drop down box. Choose a sample size between 5 and 10.
  3. Click on the button labeled "Generate Data Sample." Next to the button, a sample of size eqn from eqn is generated and displayed. The sample mean, eqn, and sample standard deviation, eqn, are computed and displayed below the sample.
  4. Choose between eqn and eqn bootstrap samples, and click "Generate Bootstrap Samples" to generate bootstrap samples from eqn.
  5. A histogram of the sample standard deviations of the bootstrap samples is plotted. The sample standard deviation, eqn, and the sample mean of the bootstrap standard deviations, eqn, are labeled on the histogram. To view the bootstrap samples and their standard deviations, click "View Bootstrap Samples," and a new window will pop up.
  6. Below the histogram, the bias corrected estimate of eqn, eqn, is computed.

The applet

No Java Plug-in support for applet, see http://java.sun.com/products/plugin/