Biostatistical AnalysisPrentice Hall, 2010 - 944 páginas Zar's Biostatistical Analysis, Fifth Edition, is the ideal book for readers seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginners and as a comprehensive reference book for biological researchers and other advanced users. Introduction; Populations and Samples; Measures of Central Tendency; Measures of Dispersion and Variability; Probabilities; The Normal Distribution; One-Sample Hypotheses; Two-Sample Hypotheses; Paired-Sample Hypotheses; Multisample Hypotheses: The Analysis of Variance; Multiple Comparisons; Two-Factor Analysis of Variance; Data Transformations; Multiway Factorial Analysis of Variance; Nested (Hierarchical) Analysis of Variance; Multivariate Analysis of Variance; Simple Linear Regression; Comparing Simple Linear Regression Equations; Simple Linear Correlation; Multiple Regression and Correlation; Polynomial Regression; Testing for Goodness of Fit; Contingency Tables; More on Dichotomous Variables; Testing for Randomness; Circular Distributions: Descriptive Statistics; Circular Distributions: Hypothesis Testing For all readers interested in biostatistics. |
Contenido
Populations and Samples | 16 |
Measures of Variability and Dispersion | 33 |
Probabilities | 49 |
Derechos de autor | |
Otras 31 secciones no mostradas
Otras ediciones - Ver todas
Biostatistical Analysis: Pearson New International Edition Jerrold H. Zar Sin vista previa disponible - 2013 |
Términos y frases comunes
analysis of variance ANOVA Appendix Table b₁ binomial distribution binomial test calculated cells Chapter chi-square confidence interval confidence limits cont contingency table correlation coefficient Critical Values data of Example datum degrees of freedom demonstrated in Example determine employed equal Equation estimate experimental design females Figure Fisher graph groups H₁ hypothesis testing independent variables interaction L₁ linear males Mann-Whitney test mean square measurements median MULTIPLE COMPARISONS n₁ nonparametric normal approximation normal distribution null hypothesis number of data observed obtained one-tailed test paired-sample parameters population mean probability procedure proportion R. A. Fisher random ranks ratio regression coefficients reject H0 residual sample sizes sampled population shown in Example species standard deviation standard error sum of squares TABLE B.4 test statistic total number transformation two-sample test Type I error weight X₁ zero Ηο μ₁ μο σ² ΣΧ