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For courses in Biostatistics. Real-world applications connect statistical concepts to everyday life. Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples and a friendly writing style, the 2nd Edition ensures that students understand concepts and develop skills in critical thinking, technology, and communication. The result of collaboration between two biological sciences experts and the author of the #1 statistics book in the US, Biostatistics for the Biological and Health Sciences provides an excellent introduction to statistics for students studying the biological, life, medical, and health sciences.   The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Biostatistics for the Biological and Health Sciences, Global Edition

• Title Page


• Copyright Page


• About the Authors


• Contents


• Preface


• Acknowledgments


• 1. Introduction to Statistics


• 1-1. Statistical and Critical Thinking


• 1-2. Types of Data


• 1-3. Collecting Sample Data


• 2. Exploring Data with Tables and Graphs


• 2-1. Frequency Distributions for Organizing and Summarizing Data


• 2-2. Histograms


• 2-3. Graphs That Enlighten and Graphs That Deceive


• 2-4. Scatterplots, Correlation, and Regression


• 3. Describing, Exploring, and Comparing Data


• 3-1. Measures of Center


• 3-2. Measures of Variation


• 3-3. Measures of Relative Standing and Boxplots


• 4. Probability


• 4-1. Basic Concepts of Probability


• 4-2. Addition Rule and Multiplication Rule


• 4-3. Complements, Conditional Probability, and Bayes? Theorem


• 4-4. Risks and Odds


• 4-5. Rates of Mortality, Fertility, and Morbidity


• 4-6. Counting


• 5. Discrete Probability Distributions


• 5-1. Probability Distributions


• 5-2. Binomial Probability Distributions


• 5-3. Poisson Probability Distributions


• 6. Normal Probability Distributions


• 6-1. The Standard Normal Distribution


• 6-2. Real Applications of Normal Distributions


• 6-3. Sampling Distributions and Estimators


• 6-4. The Central Limit Theorem


• 6-5. Assessing Normality


• 6-6. Normal as Approximation to Binomial


• 7. Estimating Parameters and Determining Sample Sizes


• 7-1. Estimating a Population Proportion


• 7-2. Estimating a Population Mean


• 7-3. Estimating a Population Standard Deviation or Variance


• 7-4. Bootstrapping: Using Technology for Estimates


• 8. Hypothesis Testing


• 8-1. Basics of Hypothesis Testing