HP 4100 Lecture Notes - Lecture 2: Systematic Sampling, Stratified Sampling, Simple Random Sample
13 Sep 2016
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Population: a set or group of individuals having a common observable characteristic: ex. students registered at asu, or all people living in nc that are 65 years of age or older (elderly) Sample: a subset of a population: ex. 100 randomly chosen students registered at asu: the real challenge is selecting an appropriate sample so that you can come up with valid statements about the populations. Parameter vs. statistic: a parameter is a characteristic of a population, and a statistic is a characteristic of a sample. Sample vs. census: a sample is a subset of a population, and a census includes the entire population. The selected members are included because of some characteristic other than chance. Random sample: every subject from a defined population has an equal chance of being selected into the sample, measurements on this sample can be made and results shared as representing all asu students.
