## Statistics and experimental design in engineering and the physical sciences, Volume 2 |

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abcd analysis of variance ANOVA ANOVA table appropriate approximately arithmetic mean assigned batches calculated Chapter chosen cluster cluster sampling coefficients column consider construct controlled variables defining contrasts degrees of freedom denotes distribution equal equation example Exercise expected value experiment F distribution factor formula function Groups mean square Groups sum hypothesis Latin square levels likelihood ratio linear regression mean square ratio measured method multistage sampling mutually independent noncentral Note number of degrees number of individuals observed values obtained optimum orthogonal parameters parametric model percent points possible principal block procedure quadratic random sample random variables replicate represented Residual mean square Residual sum residual variance ri ri ri rotatable design Section significant SOURCE standard deviation Statistical strata stratum sum of squares Suppose temperature Total treatment combinations unbiased estimate variance table variance-covariance matrix variation XXX XXX XXX Yates yield