Biostatistical AnalysisPopulations and samples; Measures of central tendency; Measures of dispersion and variability; Testing of goodness of fit; Contingency tables; The normal distribution; One-sample hypotheses; Two-sample hypotheses; Paired-sample hypotheses; Multisample hypotheses; Multiple comparisons; Two-factor analysis of variance; Data transformations; Multiway factorial analysis of variance; Simple linear regression; Comparing simple linear regression equations; Simple linear correlation; Multiple regression and correlation; The binomial distribution; Testing for randomness; Circular distributions. |
Contents
Contents | 1 |
Populations and Samples | 15 |
Measures of Dispersion and Variability | 29 |
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ABCD analysis of variance ANOV B₁ binomial distribution calculated Chapter chi-square coding confidence interval confidence limits contingency table correlation coefficient Critical Values D.2 cont data of Example degrees of freedom Denom DF ABC difference Distribution Numerator DF equal estimate F Distribution factor females Fisher's Exact Test H₁ interaction linear regression Logarithms males Mann-Whitney test mean square measurements median Mmmm MMMMM MSABCDE MSBCDE multiple regression n₁ n₂ nonparametric normal distribution null hypothesis observed one-tailed paired-sample parameters probability procedure proportion random ranks ratio regression coefficient reject H residual scale data Section significant species standard deviation standard error sum of squares TABLE D.11 cont TABLE D.4 test statistic Test the hypothesis Test the null tion total SS transformation two-sample two-tailed Type I error Values for Fisher's weight X₁ zero μ₁ Σ Σ Σ Χ