MATH 1F92 Lecture Notes - Lecture 3: Simple Random Sample, Stratified Sampling
19 Sep 2016
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Sometimes other than observational or experimental studies, we can conduct surveys to people to get better ideas about our population. The problem is, if we don"t pick our sample in the proper way, the information can come out biased. Suppose you have a population of size n" and you want a sample of size n". Simple random sampling - occurs if every possible sample of size n" has an equal chance of getting selected. Simple random sample - a sample that has been randomly chosen and has an equal chance of getting selected amongst all the other sample. Example: population of 4 people, and we want a subset of 2, n = 4 whole population, n = 2 size of sample, any two people have a likely chance, 1 in 6 possibility. We would first need a frame (a list of all the participants in the population).
