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- W216449285 abstract "This chapter presents an introduction to the analysis of variance (ANOVA). The analysis of variance is a powerful tool for comparing any number of samples simultaneously. However, the method is restricted to sampling from a normal universe. When collecting data at random from a homogeneous population, one should not expect each sample to have the same mean, because even sample averages must reflect the variance in the parent population. If the between sample variation is distinctly larger than the within sample variation, different samples are drawn from different universes. First, all items are collected into one grand sample comprising all samples. Secondly, the variance among samples must be calculated and thirdly, the within sample variance must be calculated. Finally, the within sample variance and the between sample variance are to be compared by Snedecor's F -test." @default.
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- W216449285 date "1987-01-01" @default.
- W216449285 modified "2023-09-25" @default.
- W216449285 title "Introduction to the Analysis of Variance (ANOVA)" @default.
- W216449285 doi "https://doi.org/10.1016/b978-0-08-026260-4.50025-9" @default.
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