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Unformatted text preview: • Self-selected Samples – almost always biased 5.3 Sampling Plans • Simple Random Sample – a sample selected in such a way that every possible sample with the same number of observations is equally likely to be chosen • Stratified Random Sampling – obtained by separating the population into mutually exclusive sets, or strata, and then drawing simple random samples from each stratum • Cluster Sample – a simple random sample of groups or clusters of elements • Sample Size – the larger a sample size the more accurate we can expect our results to be 5.4 Sampling and Nonsampling Errors • Sampling Error – refers to differences between the sample and the population that exists only because of the observations that happened to be selected for the sample • Nonsampling Error 1. Errors in data acquisition 2. Nonresponse Error 3. Selection Bias...
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This note was uploaded on 11/09/2011 for the course ECO 220 taught by Professor Tanaka during the Fall '11 term at University of Toronto- Toronto.
- Fall '11