Test Bank for Biostatistics for the Biological and Health Sciences by Marc M. Triola

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Test Bank for Biostatistics for the Biological and Health Sciences by Marc M. Triola

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Description Test Bank for Biostatistics for the Biological and Health Sciences by Marc M. Triola Table of Contents 1 Introduction to Statistics 1-1 Overview 1-2 Types of Data 1-3 Design of Experiments 2 Describing, Exploring, and Comparing Data 2-1 Overview 2-2 Frequency Distributions 2-3 Visualizing Data 2-4 Measures of Center 2-5 Measures of Variation 2-6 Measures of Relative Standing 2-7 Exploratory Data Analysis (EDA) 3 Probability 3-1 Overview 3-2 Fundamentals 3-3 Addition Rule 3-4 Multiplication Rule: Basics 3-5 Multiplication Rule: Conditional Probability 3-6 Relative Risk and Odds Ratio 3-7 Rates of Mortality, Fertility, and Morbidity 3-8 Counting Methods 4 Discrete Probability Distributions 4-1 Overview 4-2 Random Variables 4-3 Binomial Probability Distributions 4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution 4-5 The Poisson Distribution 5 Normal Probability Distributions 5-1 Overview 5-2 The Standard Normal Distribution 5-3 Applications of Normal Distributions 5-4 Sampling Distributions and Estimators 5-5 The Central Limit Theorem 5-6 Normal Approximation to Binomial 5-7 Assessing Normality 6 Estimates and Sample Sizes with One Sample 6-1 Overview 6-2 Estimating a Population Proportion 6-3 Estimating a Population Mean: s Known 6-4 Estimating a Population Mean: s Not Known 6-5 Estimating a Population Variance 7 Hypothesis Testing with One Sample 7-1 Overview 7-2 Basics of Hypothesis Testing 7-3 Testing a Claim about a Proportion 7-4 Testing a Claim about a Mean: s Known 7-5 Testing a Claim about a Mean: s Not Known 7-6 Testing a Claim about Variation 8 Inferences from Two Samples 8-1 Overview 8-2 Two Proportions 8-3 Two Means: Independent Samples 8-4 Two Means: Matched Pairs 8-5 Odds Ratios 8-6 Variation in Two Samples 9 Correlation and Regression 9-1 Overview 9-2 Correlation 9-3 Regression 9-4 Variation and Prediction Intervals 9-5 Multiple Regression 10 Multinomial Experiments and Contingency Tables 10-1 Overview 10-2 Multinomial Experiments: Goodness-0f-Fit 10-3 Contingency Tables: Independence and Homogeneity 10-4 McNemar’s Test for Matched Pairs 11 Analysis of Variance 11-1 Overview 11-2 One-Way ANOVA 11-3 Two-Way ANOVA 12 Nonparametric Statistics 12-1 Overview 12-2 Sign Test 12-3 Wilcoxon Signed-Ranks Test for Matched Pairs 12-4 Wilcoxon Rank-Sum Test for Two Independent Samples 12-5 Kruskal-Wallis Test 12-6 Rank Correlation 13Life Tables 13-1 Overview 13-2 Elements of a Life Table 13-3 Applications of Life Tables

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