Lecture 2 – Data Sampling and Probability
by Suraj Rampure (Summer 2020)
This is the first lecture of a brand-new format! Make sure to complete the Quick Check problems as you progress through the videos to confirm your understanding.
Censuses and surveys. Issues with the US Census.
Samples. Drawbacks to convenience and quota samples.
A case study in sampling bias (1936 election).
Sources of bias, and a formal definition of sampling frames.
Probability samples, and why we need them.
Introducing binomial and multinomial probability calculations.
Generalizing binomial and trinomial probability calculations.
Using permutations and combinations to derive the binomial coefficient.
Example usages of the binomial coefficient.