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.
Features:
• Latest and best methods used by professional statisticians are incorporated.
• New examples, exercises, and Chapter Problems provide relevant and interesting real-world statistical applications, including biometric security, self-driving cars, smartphone data speeds, and the use of drones for delivery.
i. More than 1,600 exercises are included in the text, and nearly 85% are brand new!
ii. More than 200 examples are scattered throughout the book, and almost 85% are new!
• EXPANDED! Larger data sets give students a more comprehensive look at concepts.
• UPDATED! Real Data Sets: 89% of the exercises in the text use real data, and 87% of the examples feature real statistics.
• Easy-to-assign 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.
• Statistical Software: SPSS, SAS, STATDISK, MINITAB, Excel, and TI-83/84 Plus output appear throughout the text.
Table of Contents:
Chapter 1. Introduction to Statistics
Chapter 2. Exploring Data with Tables and Graphs
Chapter 3. Describing, Exploring, and Comparing Data
Chapter 4. Probability
Chapter 5. Discrete Probability Distributions
Chapter 6. Normal Probability Distributions
Chapter 7. Estimating Parameters and Determining Sample Sizes
Chapter 8. Hypothesis Testing
Chapter 9. Inferences from Two Samples
Chapter 10. Correlation and Regression
Chapter 11. Goodness-of-Fit and Contingency Tables
Chapter 12. Analysis of Variance
Chapter 13. Nonparametric Tests
Chapter 14. Survival Analysis
About the Author
Dr. Triola is the associate dean for educational informatics and an associate professor of medicine at NYU Langone Health, where he is also the founding director of the Institute for Innovations in Medical Education, known as IIME.
