Principles and Procedures of Statistics: A Biometrical ApproachMcGraw-Hill, 1980 - 633 halaman Observations; Probability; Sampling from a normal distribution; Comparisons involving two sample means; Principles of experimental design; Analysis of variance I: the one-way classification; Multiple comparisons; Analysis of variance II: multiway classifications; Linear regression; Linear correlation; Matrix notation; Linear regression in matrix notation; Multiple and partial regression and correlation; Analysis of variance III: factorial experiments; Analysis of variance IV: split-plot designs and analysis; Analysis of covariance; Analysis of variance V: unequal subclass numbers; Curve fitting; Some uses of Chi square; Enumeration Data I: one-way classifications; Enumeration Data II: contingency tables; Some discrete distributions; Nonparametric statistics; Sampling finite populations. |
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adjusted treatment means alternative analysis of variance apply appropriate approximately b₁ b₂ binomial distribution Chap column common comparisons complete block design completely random design Compute confidence interval covariance data of Exercise data of Table degrees of freedom differences equation error rate estimate of o² example experimental error experimental units F value factor frequency given H₁ homogeneity interaction Latin square linear main effects matrix measure multiple n₁ n₂ normal distribution null hypothesis number of observations number of replicates obtained orthogonal pairs parameters percent confidence interval plants plots population mean probability procedure random sample randomized complete block ratio regression coefficients Repeat Exercise residual sample means significant simple effects sources of variation standard deviation statistics sum of squares test criterion Test the null tion treatment sum Type I error weight X₁ Y₁ Y₂ zero ΣΥ