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Stevenliuyi (talk  contribs) m (→Example: clean up inconsistent variable names) 

:<math>I = \int_0^1 \frac{1}{1+x} \, \mathrm{d}x</math>
using [[Monte Carlo integration]]. This integral is the expected value of <math>f(U)</math>, where
:<math>f(
and ''U'' follows a [[uniform distribution (continuous)uniform distribution]] [0, 1].
Using a sample of size ''n'' denote the points in the sample as <math>u_1, \cdots, u_n</math>. Then the estimate is given by
:<math>I \approx \frac{1}{n} \sum_i f(u_i); </math>
Now we introduce <math>g(
:<math>I \approx \frac{1}{n} \sum_i f(u_i)+c\left(\frac{1}{n}\sum_i g(u_i) 3/2\right). </math>
