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Ordered Hypotheses for Multiple Treatments: A Significance Test for Linear Ranks
Ellis Batten Page
Journal of the American Statistical Association
Vol. 58, No. 301 (Mar., 1963), pp. 216-230
Stable URL: http://www.jstor.org/stable/2282965
Page Count: 15
You can always find the topics here!Topics: Null hypothesis, Analysis of variance, Statistical variance, Statistics, Experiment design, Linear regression, A priori knowledge, Arithmetic mean, Correlations, Experimental results
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In many experiments the background evidence, theories, or conditions suggest an expected ordering among the treatment effects, yet in the analysis of variance such implicit hypotheses are typically neglected. A ranking statistic L is presented as test of a monotonic relationship among the treatment groups in the two-way analysis of variance. Used with accompanying table of L, it combines considerable power with computational ease, and assumes data of only ordinal strength. L is related to the test of the linear component of the treatment sum of squares in the parametric randomized-block design, to the product-moment correlation and regression, to the normal deviate test of Lyerly's average rho, and to Friedman's chi-square of ranks. Where either L or the Friedman test may be used, L is often more accurate and appropriate, and it has some advantages over other tests of trend and monotonicity.
Journal of the American Statistical Association © 1963 American Statistical Association