Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model BuildingIntroduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for ``statistical thinking'' by using examples drawn from actual case studies. |
Contents
SCIENCE AND STATISTICS | 1 |
COMPARING TWO TREATMENTS | 19 |
Appendix 2A Calculation of the Sample Average Sample | 53 |
Copyright | |
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addition analysis of variance Answer appropriate approximately assumption autocorrelation B₁ b₂ batch binomial distribution block design calculated catalyst chapter chi-square coefficients column compute confidence interval confidence limits confounded consider correlation degrees of freedom denote difference Equation example Exercise experiment experimental error fitted following data fractional factorial design frequency grand average illustrated independent investigation Latin square linear main effects mean square measured method n₁ normal distribution null hypothesis observations obtained paired parameters parent distribution particular plant plot Poisson distribution population possible Pr(y probability procedure produced quantity random sampling random variables randomly ratio reference set replicated residuals S₁ sample average sample standard deviation sample variance significance level significance test standard error statistical statistically independent sum of squares Suppose temperature tion transformation treatment averages trial two-factor interactions variance table variation vector x₁ y₁ y₂ yield zero β₁ σ² ЎА Ув



