WOLFRAM|DEMONSTRATIONS PROJECT

Bootstrap Percentile Confidence Intervals

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confidence interval example
center of one population
comparing difference in centers of two populations
resamples
100
statistic
mean
5% trimmed mean
median
Bootstrapping is a technique for finding confidence intervals directly by resampling. The first histogram shows the original sample. The second histogram is the
th
n
resample drawn from the original sample with replacement. The third histogram is the bootstrap (or resampling) distribution of the statistic calculated from the
n
resamples. Above the third histogram is the bootstrap percentile confidence interval (the central 95% of the bootstrap distribution). In all the histograms the bin height is the fraction of values in that bin.