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- W29079683 abstract "This chapter highlights significance tests from two samples of data. The samples have been chosen from two populations. The chapter describes the problem of determining whether the population parameters in question differ. The evidence at hand is the two sample statistics, which estimate the respective parameters. Even if the two populations are absolutely identical, one cannot expect the sample statistics from two samples to be identical. Some difference is only to be expected, purely by the workings of chance. Thus, observed difference can be compared with that explainable by chance, to see whether the observed difference is attributable to chance. If it is, then one cannot justifiably declare that the parameters differ; but if not attributable to chance, then a real difference in parameters can be claimed. The t test for differences in means is used when σ's are unknown: exact, if σ1 = σ2 is assumed, otherwise an approximate t." @default.
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- W29079683 date "1974-01-01" @default.
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- W29079683 title "SIGNIFICANCE TESTS–TWO SAMPLES" @default.
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- W29079683 doi "https://doi.org/10.1016/b978-0-12-146150-8.50015-3" @default.
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