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Table of Contents
Using Statistical Sampling
A statistical population refers to the entire group of things that you're trying to measure, study, or analyze. It can refer to anything from humans to scores to gumballs. The key thing is that a population refers to all of them. A census is a study or survey involving the entire population, so in the case of Mighty Gumball, they’re conducting a census of their gumball population by tasting every single one of them. A census can provide you with accurate information about your population, but it’s not always practical. When populations are large or infinite, it's just not possible to include every member.
How to design a sample
Define your target population
Define your sampling units
- 책, 단원, 문단, 단어
- 개인 (individuals) vs. 지역단위, 구 (동작구 등)
- 지역단위 범죄율 . . . . 외국인이 많이 사는 곳 . . . . 범죄율이 높을 경우 –> ecological fallacy
- individual fallacy or exception fallacy 개인을 보고 전체를 판단하는 경우
Define your Sampling Frame (표집틀)
If you don’t design your sample well, your sample may not be accurate.
See sampling document
Sometimes samples can be biased
How to choose your sample(, then)
see Sampling