Explanation for Scaled Symmetric Random Walk

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If a Scaled Random Walk is given by:

$$W^{(n)}(t) = \frac{1}{\sqrt n} M_{nt}$$

where $$M_{nt} = \sum_{j=1}^{nt}X_j$$

and the Random Walk is being generated by repeated coin tosses.

Could someone give a quick explanation of how exactly the scaling is being done please? (With realized examples of $n$ and $t$)