Summary

Let's wrap up this chapter.

Statistics is all about signal and noise. When we want to quantify the variability (or dispersion) in a sample, it’s ideal to use the standard deviation. The standard deviation of the mean value of a sample distribution is called the standard error of the mean. The standard error is the basic measure of precision. The central limit theorem allows us to use the properties of the normal distribution as a model for our data’s variability.

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