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In statistics, the **central limit theorem** states that
-the sum of many independent variables tends towards a normal distribution,
+the sum of many independent variables tends to a normal distribution,
even if the individual variables $$x_n$$ follow different distributions.
For example, by taking $$M$$ samples of size $$N$$ from a population,