Statistical Sciences 2244A/B Chapter Notes - Chapter 6: Convenience Sampling, Observational Error, Statistical Inference
19 Jan 2020
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Population entire group of individuals (not necessarily people) about which we want information. Sample part of the population from which we actually collect information: use a sample to draw conclusions about the entire population. Sampling design describes exactly how a sample is chosen from the population. Statistical inference the process of drawing conclusions about a population on the basis of. Sampling designs sample data: though it is possible to perform inference for any reasonable sample size and data variability, larger samples and lower variability lead to more precise inference, bias is likely to lead to a wrong conclusion. Bias systematic errors (ex favouring) of certain outcomes. Convenience sample chooses individuals close at hand: creates unrepresentative sample, here, the source of bias is a systematic error caused by a bad sampling design, ex shopping mall surveys over-represent middle class and under-represent.
