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The Design of Experiments
 
by
Ronald A. Fisher
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The Design of Experiments

4.2  ·  Rating Details ·  5 Ratings  ·  2 Reviews
Chapters

1. Introduction
2. The principles of experimentation, illustrated by a psycho-physical experiment
3. A historical experiment on growth rate
4. An agricultural experiment in randomised blocks
5. The latin square
6. The factorial design in experimentation
7. Confounding
8. Special cases of partial confounding
9. The increase of precision by concomitant measurements. Statisti
...more
8th, 245 pages
Published 1960 by Oliver and Boyd
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Chrissy
Mar 27, 2014 Chrissy rated it liked it
It's difficult to treat this statistical hallmark fairly from a modern perspective, and particularly from the perspective of a social scientist. Fisher's work, while undeniably fundamental to current statistical techniques in psychology, lay firmly in the applied realms of genetics and agriculture. Whereas it is possible to read his treatment of Latin Squares in plots of land, for example, as generalizable to the design of factorial behavioural experiments, holy hell is it tedious: it demands ...more
loafingcactus
Jul 25, 2010 loafingcactus rated it really liked it
Charmingly written in the old gentleman's style, which is of especial note since this book marks the delineation between the physician as a gentleman relying on his superior intuition and sense and the physician as a technitian creating inputs and enacting outputs from scientific method.
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Sir Ronald Aylmer Fisher was an English statistician, evolutionary biologist, geneticist, and eugenicist.

Among other things, Fisher is well known for his contributions to statistics by creating ANOVA (analysis of variance), Fisher's exact test and Fisher's equation.
More about Ronald A. Fisher...

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“The value for which P=0.05, or 1 in 20, is 1.96 or nearly 2; it is convenient to take this point as a limit in judging whether a deviation ought to be considered significant or not. Deviations exceeding twice the standard deviation are thus formally regarded as significant. Using this criterion we should be led to follow up a false indication only once in 22 trials, even if the statistics were the only guide available. Small effects will still escape notice if the data are insufficiently numerous to bring them out, but no lowering of the standard of significance would meet this difficulty.” 1 likes
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