BIOSTATISTICS FOR THE BIOLOGICAL AND HEALTH SCIENCES | SECOND EDITION

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, smart phone 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.