STA 309 Chapter Notes - Chapter 8: Sampling Frame, Sampling Bias, Response Bias
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The sample size is what matters: size of sample determines what we can conclude from the data regardless of population size, size of population doesn"t matter at all. 8. 2 populations and parameters: population parameters are key numbers in a model of for population, match simple statistics with parameters they estimate, a representative is a sample that estimates corresponding parameters accurately. Sometimes called sample error even without presence of errors. Pilot test: small sample is drawn from sampling frame and a draft form of the survey instrument is administered. 8. 5 how to sample badly: voluntary response sample large group of individuals invited to respond, only those who respond get counted. Hard to define sample frame; usually don"t correspond to population of interest. Even if of interest, more likely to be of those with strongly motivated opinions, both positive and negative: convenience sampling include only those individuals who are convenient.
