By Yasui Y.

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Conducting a census) would necessarily give better information. In some circumstances, a sample will be more accurate than a census, as well as cheaper, quicker and less invasive of the community. Some sources of discrepancy between the estimated (measured) and true population value, which will hereafter be referred to as error, are more likely in a large-scale census than in a small and tightly managed sampling survey. 1 (10 minutes) Write a brief account (100–120 words) of what you think might be greater problems for a census than for a sampling survey, assuming a fairly large, and dispersed, population (as in the national census).

These are collections of elements which do not overlap and which exhaust the entire population. For example, if the elements were fingers, and the population all the fingers in the UK, then the sampling units could be geographical regions, provided they covered the whole of the UK and did not overlap. Or the sampling units could be families, or individual persons, or hands. If the elements were persons over 60 who lived alone but who were currently receiving nursing care in hospital immediately following major surgery, and the population were all such individuals in the UK, then the sampling units could be geographical regions, or hospitals, but not cities, because these might not exhaust the population of interest.

Although the interviews were tape-recorded, it seemed to us that this atmosphere was readily attained in most cases – the more so because Abbott was very evidently pregnant during the early interviews. … Although we cannot claim that [this study] had a sample statistically representative of the population of mentally handicapped children, we would claim that [it covers] a good part of the range – from the mildest of borderline handicaps to the very severe. These data are contrasted with a parallel series of interviews with mothers of children who have not been labelled as mentally handicapped.

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A data-analytic strategy for protein biomarker discovery profiling of high-dimensional proteomic dat by Yasui Y.


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