Biostatistical Analysis

This Textbook Introduces All Biostatistical Methods While Assuming No Statiscal Background. Comprehensive, Topical Coverage Covers All Areas Of The Biology Curriculum That Benefit From Statistical Analysis. 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. Jerrold H. Zar. Includes Bibliographical References (p. 886-921) And Indexes.