Biostatistics for the Biological and Health Sciences, Global Edition

Marc M. Triola / Mario F. Triola  
Total pages
June 2018
Related Titles


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.


  • Latest and best methods used by professional statisticians are incorporated.
  • 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 Margin Essays, which illustrate uses and abuses of statistics in real, practical, and interesting applications.
  • Flow charts appear throughout the text to simplify and clarify more complex concepts and procedures.
  • Designed for a wide variety of students and supported by real world data, examples, and exercises
  • Larger data sets give students a more comprehensive look at concepts.
  • 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.

New to this Edition

About the Book

  • 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.
  • More than 1,600 exercises are included in the text, and nearly 85% are brand new!
  • More than 200 examples are scattered throughout the book, and almost 85% are new!
  • Chapter Objectives provide summaries of key learning goals for each section in the chapter.
  • Larger data sets give students a more comprehensive look at concepts. Full data sets in Appendix B can be downloaded at
  • Real Data Sets: 89% of the exercises in the text use real data, and 87% of the examples feature real statistics.
  • Content Updates:
    • Chapter 1 includes a new section about statistical and critical thinking, and a new subsection about big data.
    • Chapter 2 features a new section about scatterplots, linear correlation, and linear regression. It has also been divided into Chapters 2 and 3 for a deeper analysis of topics.
    • Chapter 3 covers statistics for describing, exploring, and comparing data, which was formerly part of Chapter 2.
    • Chapter 4 includes a new section about Bayes’ Theorem.
    • Chapter 5 features a section that combines binomial probability and mean, variance, and standard deviation.
    • Chapter 6’s order has been modified so content flows more effectively for students.
    • Chapter 7 features a new section about how to use technology for estimates.
    • Chapter 8 includes a combined section about testing a claim about a population mean.
    • Chapter 10 incorporates a new section about logistic regression.
    • Chapter 11 features a new subsection about the Test of Homogeneity, Fisher’s Exact Test, and McNemar’s Test for Matched Pairs.
    • Chapter 14 includes a new section about the Kaplan-Meier Method.

Pearson MyLabTM Statistics not included. Students, if MyLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. Mastering should only be purchased when required by an instructor. Instructors, contact your Pearson rep for more information.

Pearson MyLab Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

· Exercises with immediate feedback–Assignable exercises are based on the textbook exercises, and regenerate algorithmically to give students unlimited opportunity for practice and mastery. Pearson MyLab Statistics provides helpful feedback when students enter incorrect answers and includes optional learning aids including Help Me Solve This, View an Example, videos, and an eText.

  • UPDATED! Tech Tutorial Study Cards and Videos are effective tutorial learning aids and updated for Excel 2016 and Minitab 17 functionality.
  • Learning CatalyticsTM helps generate class discussion, customize lectures, and promote peer-to-peer learning with real-time analytics. As a student response tool, Learning Catalytics uses students’ smartphones, tablets, or laptops to engage them in more interactive tasks and thinking.
    • Learning Catalytics Questions cover the book-specific statistical content from the n

Table of Contents

  • 1. Introduction to Statistics
  • 2. Exploring Data with Tables and Graphs
  • 3. Describing, Exploring, and Comparing Data
  • 4. Probability
  • 5. Discrete Probability Distributions
  • 6. Normal Probability Distributions
  • 7. Estimating Parameters and Determining Sample Sizes
  • 8. Hypothesis Testing
  • 9. Inferences from Two Samples
  • 10. Correlation and Regression
  • 11. Goodness-of-Fit and Contingency Tables
  • 12. Analysis of Variance
  • 13. Nonparametric Tests
  • 14. Survival Analysis