Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the country and an expert in the biological sciences field. The major objective of this book is to provide a thorough, yet engaging introduction to statistics for students and professors in the biological, life, and health sciences.

This text reflects the important features of a modern introductory statistics course and includes an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.

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 aboutVariation

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

13 Life Tables

13-1 Overview
13-2 Elements of a Life Table
13-3 Applications of Life Tables
Appendix A: Tables
Appendix B: Data Sets
Appendix C: Answers to Odd-Numbered Exercises