statistical inference

Statistical inference

A statistical method of drawing conclusions on unknown properties of a population based on a random sampling of data from that population.

statistical inference

a process by which we infer conclusions about a statistical POPULATION from which only a SAMPLE has been drawn. For example, if one million Britons buy bicycles each year, and 200 are asked why they do so, 50% may say because it helps to keep them fit. From this sample one may infer that 50% of the total population of one million Britons buying bicycles do so for this reason. However, it is not possible to say with 100% accuracy that this is the case unless the views of all one million were obtained. Nevertheless, it is possible to say with reasonable confidence that the estimation of 50% is correct for the whole population.

单词	statistical inference
释义	statistical inference statistical inference n (Statistics) the theory, methods, and practice of forming judgments about the parameters of a population, usually on the basis of random sampling. Also called: inferential statistics Compare hypothesis testing statistical inference statistical inference [stə′tis·tə·kəl ′in·frəns] (statistics) The process of reaching conclusions concerning a population upon the basis of random samplings. statistical inference see PROBABILITY, STATISTICS. statistical inference Statistical inference A statistical method of drawing conclusions on unknown properties of a population based on a random sampling of data from that population. statistical inference a process by which we infer conclusions about a statistical POPULATION from which only a SAMPLE has been drawn. For example, if one million Britons buy bicycles each year, and 200 are asked why they do so, 50% may say because it helps to keep them fit. From this sample one may infer that 50% of the total population of one million Britons buying bicycles do so for this reason. However, it is not possible to say with 100% accuracy that this is the case unless the views of all one million were obtained. Nevertheless, it is possible to say with reasonable confidence that the estimation of 50% is correct for the whole population.
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