Biostatistical AnalysisPopulations and samples. Measures of central tendency. Measures of dispersion and variability. Testing of goodness of fit. Contingency tables. The normal distribuition. One-sample hypotheses. Two-sample hypotheses; Paired-sample hypotheses. Multisample hypotheses. Multisample hypotheses. The analysis of variance. Multiple comparasion. Two factor analysis of variance. Data transformations. Multiway factorial analysis of variance. Nested (hierarchial) analysis of variance. Simple linear regression. Comparing simple linear regression equations. Simple linear correlation. Polynomial regression. The binomial distribution. The posion distribution and randomness. Circular distributions. Descriptive statistics. Circula4 distribution. Hypotheses testing. |
Contents
Populations and Samples | 14 |
Measures of Dispersion and Variability | 27 |
Testing for Goodness of | 40 |
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analysis of variance ANOVA b₁ binomial distribution binomial test calculated cells Chapter chi-square confidence interval confidence limits contingency table correlation coefficient CRITICAL VALUES data of Example degrees of freedom demonstrated in Example determine difference employed equal estimate F DISTRIBUTION F DISTRIBUTION Numerator f₁ factor females FISHER'S EXACT TEST H₁ hypothesis testing interaction L₁ males Mann-Whitney Mann-Whitney test mean angle mean square measure median multiple comparison multiple regression n₁ n₂ nonparametric normal approximation normal distribution null hypothesis number of data observed obtained parameter population means population regression probability procedure proportion R₁ random ranks ratio regression coefficients reject replication residual sample statistics Section shown in Example species standard error sum of squares TABLE B.4 cont total number total SS transformation two-sample Type I error weight X₁ Y₁ zero β₁ Ηο μ₁ μ₂ μα μι μο σ² ΣΧ