SOCI 313 Lecture Notes - Lecture 5: Stratified Sampling, Simple Random Sample, Sampling Error
Document Summary
Whom and what will we collect data from. Knowing about a population, takes a lot of effort to capture variation, really dependson how much variation is in it. If the population is homogneous, then the process can be incredibly simple. Develop a sample where we will capture variation. Than generalized back to general population, estimate the error in doing that. Fundamental problem behind sampling is to find the same variations that occur in the population. =in orer for us to properly respresent what is going in the population, have to make sure there is no error. Biggest source of error is some form of human bias, randomize your sampling, leave the decisions to chance. Preferneces bias your ability to go out and collect data. Understnading of population there fore differe, mustdo this by removing human decision making by using randomization to rule it out.
