$\mathrm{with}\left(\mathrm{Statistics}\right)\:$

$X≔\mathrm{RandomVariable}\left(\mathrm{NonCentralBeta}\left(3\,10\,2\right)\right)\:$

$A≔\mathrm{Sample}\left(X\,1000\right)$

$\mathrm{Bootstrap}\left(\mathrm{Mean}\,X\,\mathrm{replications}=1000\,\mathrm{output}=\left['\mathrm{value}'\,'\mathrm{standarderror}'\right]\right)$

$\left[0.282229356166131\,0.00399644288773034952\right]$

$\mathrm{Bootstrap}\left(\mathrm{Mean}\,A\,\mathrm{replications}=1000\,\mathrm{output}=\left['\mathrm{value}'\,'\mathrm{standarderror}'\right]\right)$

$\left[0.275083017014237\,0.00384426186874453797\right]$

$\mathrm{Mean}\left(X\right)$

$-1762148409+4790016000{\ⅇ}^{\mathrm{-1}}$

$\mathrm{evalf}\left[30\right]\left(\mathrm{Mean}\left(X\right)\right)$

$0.28226746351970438745$

$\mathrm{Mean}\left(X\,\mathrm{numeric}\right)$

$0.2822674635$

$Y≔\mathrm{RandomVariable}\left(\mathrm{Cauchy}\left(0\,1\right)\right)$

$Y≔\mathrm{\_R0}$

$Z≔\mathrm{RandomVariable}\left(\mathrm{Cauchy}\left(1\,2\right)\right)$

$Z≔\mathrm{\_R1}$

$B≔\mathrm{Sample}\left(Y^2+Z^2\,{10}^5\right)$