Scaling a distribution is as important as centering or demeaning considered here. The question we want to find an answer for is this: What can you do to a random variable to obtain another random variable, say, , whose variance is one? Like in case of centering, geometric considerations can be used but I want to follow the algebraic approach, which is more powerful.

**Hint**: in case of centering, we subtract the mean, . For the problem at hand the suggestion is to use scaling: , where is a number to be determined.

Using the fact that variance is homogeneous of degree 2, we have

.

We want to be 1, so solving for gives . Thus, division by the standard deviation answers our question: the variable has variance and standard deviation equal to 1.

**Note**. Always use the notation for standard deviation with its argument .

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