Principles and Procedures of Statistics: With Special Reference to the Biological Sciences, Volumen 1McGraw-Hill, 1960 - 481 páginas Statistics defined. Some history of statistics. Statistics and the scientific method. studying statistic; Probability. Sampling from a normal distribution. Comparisons involving two sample means. Principles of experimental design. Analysis of variance I: the one-way classification. Analysis of variance II: multiway classifications. Linear regression. Linear correlation. Analysis of variance III: Factorial experiments. Analysis of variance IV: split-plot designs and analysis. Analysis of variance V: unequal subsclass numbers. Multiple and partial regression and correlation. Analysis of covariance. Nonlinear regression. 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 analysis of variance apply appropriate average b₁ b₂ binomial Biometrics blocks calculated column comparisons completely random design components Compute confidence interval correlation coefficient covariance data of Table degrees of freedom differences divisor error mean square estimate of o² example Exercise experimental error experimental units factor factorial experiment frequency given by Eq given in Table homogeneity illustrated independent variable interaction involved Latin square linear main effects measure method multiple n₁ normal distribution null hypothesis number of observations number of replicates obtained orthogonal orthogonal polynomials pairs parameters plants plot polynomials population mean probability procedure random sample randomized complete-block design ratio sample means seed simple effects sources of variation standard deviation standard error statistics subunits sum of squares test criterion test the null tests of significance treatment sum unbiased estimate values weight whole units X₁ yield zero σ² ΣΧ