September 2015
Beginner to intermediate
608 pages
13h 43m
English
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The central limit theorem
We encountered the central limit theorem in the previous chapter when we took samples from a uniform distribution and averaged them. In fact, the central limit theorem works for any distribution of values, provided the distribution has a finite standard deviation.
Note
The central limit theorem states that the distribution of sample means will be normally distributed irrespective of the distribution from which they were calculated.
It doesn't matter that the underlying distribution is exponential—the central limit theorem shows that the mean of random samples taken from any distribution will closely approximate a normal distribution. Let's plot a normal curve over our histogram to see how closely it matches.
To plot a normal ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.