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 the best possible introduction to statistics for students and professors in the biological, life, and health sciences. This goal is realized through a friendly writing style, content that reflects the important features of a modern introductory statistics course, an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics. 

1-1 Overview

1-2 Types of Data

1-3 Design of Experiments

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)

3-1 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

4-1 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

5-1 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

6-1 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

7-1 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

8-1 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

9-1 Overview

9-2 Correlation

9-3 Regression

9-4 Variation and Prediction Intervals

9-5 Multiple Regression

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

11-1 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

• Real Data Sets: 59% of the exercises in the text use real data.
• Exercises are graded by difficulty, and exercises that are particularly difficult or involve a new concept appear at the end of exercise sets and are marked by an asterisk, making it easy for instructors to assign homework.
• The chapter-opening features preview the chapter, contain a chapter-opening problem using real data to motivate the students, and include a chapter overview to provide students with a statement of the objectives of the chapter.
• The text includes 53 Margin Essays, which illustrate uses and abuses of statistics in real, practical, and interesting applications. Topics include “Do Boys or Girls Run in the Family?” and “Test of Touch Therapy”.
• Flow charts appear throughout the text to simplify and clarify more complex concepts and procedures.
• End-of-chapter features:
• Chapter Reviews summarize the key concepts and topics of the chapter.
• Review Exercises offer practice on the chapter concepts and procedures.
• Cumulative Review Exercises reinforce earlier material.
• From Data to Decision: Critical Thinking is a capstone problem that requires critical thinking and a writing component.
• Cooperative Group Activities encourage active learning in groups.
• Technology Projects are for use with SPSS, SAS, STATDISK, MINITAB, Excel, or a TI-83/84 Plus calculator.
• Flexible Syllabus: This text can be used for early coverage of correlation/regression or minimum probability.
• Statistical Software: SPSS, SAS, STATDISK, MINITAB, Excel, and TI-83/84 Plus output appear throughout the text.
• The CD-ROM bound in new copies of the book includes all of the data sets found in Appendix B of the book (except for Data Set 2). Data sets are stored as text files and can be easily imported to MINITAB worksheets, SPSS files, SAS files, Excel workbooks, or a TI-83/84 Plus calculator. The CD also includes programs for the TI-83/84 Plus graphing calculator, STATDISK statistical software, and the Excel Add-In.