ARTS280 Lecture Notes - Lecture 3: Descriptive Statistics, Simple Random Sample, Sampling Frame
12 Mar 2016
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Document Summary
If people are homogenous, there would be no need for careful sampling techniques; any sample would do but this is rarely the case. Representaive sample: aggregate characterisics of the sample closely approximate those same aggregate characterisics in the populaion. Basic principle of probability sampling: a sample will be representaive of the people from which it is selected if all members of the populaion have an equal chance of being selected in the sample. Key to selecing elements whose staisics accurately represent the parameters of a people: random selecion. Each element has an equal chance of selecion. Flipping a perfect coin, rolling a perfect set of dice, table of random numbers. Probability (or random) samples, although never perfectly representaive are usually representaive than other types of (non-probability) samples: avoid biases from the researcher in the sample selecion o o. Can infer populaion characterisics; can generalize to wider populaion.
