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INTRODUCTION TO BASIC CONCEPTS
MULTIPLE COMPARISON TESTS
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ABCD analysis of covariance analysis of variance ANOVA Assume BL(A cell circularity assumption coefficients column completely randomized design components Computational formulas Computational Procedures data in Table degrees of freedom denoted dependent variable described in Section difference error rate error term estimate evaluate example expected values experiment experimental design model experimental units F ratio F statistic fractional factorial design full rank experimental groups independent interaction Latin square level of significance levels of treatment linear matrix mean squares model approach MSRES MSWCELL MSWG nuisance variable null hypothesis obtained parameters population means random-effects model randomized block design randomly assigned rank experimental design regression model sampling distribution scores split-plot factorial design SSAB SSRES SSTO subjects sum of squares Summary Table Entry test statistic treatment combinations treatment effects treatment levels trend Tukey's type CR-p design type I error vector within-blocks