Video: Random error, Part I
We focus on the errors we make when we use data from a sample to tell us something about a whole population. We ask: “How wrong could I be?”
(See also the Review Questions following the movie)
[Illustrated transcript (pdf)]
After you’ve watched this video, you should be able to answer these questions:
- Do the problems caused by bad measurement systems and biased selection mechanisms go away when we get huge amounts of data?
- Do the problems caused by confounding go away when we get huge amounts of data?
- Do the problems caused by random error go away when we get huge amounts of data?
- What is a sampling error?
- Do we ever know how big the actual sampling error we incurred was? What do we try to do about that?
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