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    %% Estimate the Density of Bootstrapped Statistic
% This example shows how to estimate the kernel density of bootstrapped
% means.

% Copyright 2015 The MathWorks, Inc.


%%
% Compute a sample of 100 bootstrapped means of random samples taken from
% the vector Y.
rng default;  % For reproducibility
y = exprnd(5,100,1);
m = bootstrp(100,@mean,y);

%%
% Plot an estimate of the density of these bootstrapped means.
figure;
[fi,xi] = ksdensity(m);
plot(xi,fi);