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Contents for Volume 3
normal variables 61 1 6 4 Testing Variance of Normal Distri
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adjusted alternative analysis of variance animals appropriate approximate bias binomial cell chi-square classification coefficients comparisons completely randomized design components of variance computed confidence interval correlation corresponding covariance critical value degrees of freedom detect dose E[MS equal equations example expected mean squares experiment experimental error factorial effects factors fixed effects H:ul hypothesis independent variables interaction interval estimate inverse involved main effects matrix mean difference mean square error measured method nonlinear normally distributed nuisance variables observations obtained paired parameters Poisson distribution polynomial population prediction probability of Type procedure random effects random variable ratio rats regression rejected replication sample mean sample variance serum specific standard deviation standard error standard normal subjects sum of squares Suppose Table test statistic tion treatment combinations treatment groups treatment means Type I error unbalanced data unbiased estimator variation weight zero