STAB22H3 Chapter Notes - Chapter 12: Simple Random Sample, Response Bias, Sampling Frame
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STAB22H3 Full Course Notes
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Sample: small group of individuals selected from the population of interest. Supposed to represent the whole population (if selected properly) Sample surveys: designed to ask questions of a small group of people in hopes of learning something about the entire population. Bias: sampling methods that by their nature, tend to over- or under- emphasize some characteristic of the population. Conclusions based on biased methods are inherently flawed. There is no way to fix the flaw once the sample is drawn. Protects against the influences of all the features of our population by making sure that, on average, the sample looks like the rest of the population. Sample size matters: the fraction of the population that was sampled doesn"t matter. What matters is the number of individuals sampled (sample size) Census: including everyone and sampling the entire population. Appears to provide the best possible info about the population but it isn"t:
