September 2017
Beginner to intermediate
412 pages
8h 55m
English
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Random sampling
A random sample of a dataset is a subset whose elements are randomly selected. The given dataset is called the population and is usually very large; for example, all male Americans aged 25-35 years.
In a simulation, selecting a random sample is straightforward, using a random number generator. But in a real world context, random sampling is nontrivial.
Random sampling is an important part of quality control in nearly all types of manufacturing, and it is an essential aspect of polling in the social sciences. In industrial sectors such as pharmaceuticals, random sampling is critical to both production and testing.
To understand the principles of random sampling, we must take a brief detour into the field of mathematical probability ...
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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.