Design and Analysis of Experiments

23 design ABCD aliased analysis of variance Analyze the data ANOVA average block design center points column confidence interval confounded consider contour plot contrast defining relation degrees of freedom designed experiments distribution effect estimates effects model error etch rate expected mean squares factor effects factor levels factorial experiment four fractional factorial design Latin square linear main effects material type method Minitab normal probability plot null hypothesis observations obtained operating orthogonal output P-value parameters percent confidence interval Problem procedure random regression coefficients regression model replicates residuals versus response surface response variable runs sample shown in Figure shown in Table significant SSAB standard deviation sum of squares Suppose temperature test statistic Total treatment combinations treatment means two-factor interactions type I error variance component x₁ y₁ Yijk σ²