Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life for the biological, life, medical, and health sciences. This title ensures that you understand concepts and develop skills in critical thinking, technology, and communication.
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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
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About the Book Students learn the basic theory and methods of statistic through a wide variety of applicationsLatest 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.End-of-chapter features include: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. Designed for a wide variety of students and supported by real world data, examples, and exercises NEW! 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! EXPANDED! Larger data sets give students a more comprehensive look at concepts. Full data sets in Appendix B can be downloaded at www.TriolaStats.comUPDATED! 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.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.The Companion Website at www.TriolaStats.com supports the textbook to provide the latest digital resources, including:Statdisk: A free robust statistical software package designed for this book.Downloadable Appendix B data sets in a variety of technology formats.Downloadable textbook supplements include Section 4-5 Probabilities Through Simulations.Online instructional videos created specifically for this book that provide step-by-step technology instructions.Triola Blog which highlights current applications of statistics, statistics in the news and online resources. Also available with MyLab Statistics 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. NEW! Exercises with immediate feedback– Assignable exercises are based on the textbook exercises, and regenerate algorithmically to give students unlimited opportunity for practice and mastery. 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.NEW! Learning Catalytics™ 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 new edition of Biostatistics for the Biological and Health Sciences.Help your students develop critical thinking skills.Monitor responses to find out where your students are struggling.Rely on real-time data to adjust your teaching strategy.Automatically group students for discussion, teamwork, and peer-to-peer learning. StatTalk Videos are a series of 24 videos, hosted by fun-loving statistician Andrew Vickers, that demonstrate important statistical concepts through interesting stories and real-life events. Videos include assessment questions and an instructor’s guide.
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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 www.TriolaStats.comReal 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. Also available with MyLab Statistics 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. 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 Catalytics™ 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.NEW! Learning Catalytics Questions cover the book-specific statistical content from the new edition of Biostatistics for the Biological and Health Sciences.NEW! Upload a full PowerPoint® deck for easy creation of slide questions.NEW! Team names are no longer case sensitive.Help your students develop critical thinking skills.Monitor resp
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Produktdetaljer

ISBN
9780134039091
Publisert
2017-06-01
Utgave
2. utgave
Utgiver
Vendor
Pearson
Vekt
388 gr
Høyde
280 mm
Bredde
215 mm
Dybde
10 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
144

Om bidragsyterne

Marc Triola, MD, FACP is the Associate Dean for Educational Informatics at NYU School of Medicine, the founding director of the NYU Langone Medical Center Institute for Innovations in Medical Education (IIME), and an Associate Professor of Medicine. Dr. Triola’s research experience and expertise focuses on the disruptive effects of the present revolution in education, driven by technological advances, big data, and learning analytics. Dr. Triola has worked to create a “learning ecosystem” that includes inter-connected computer-based e-learning tools and new ways to effectively integrate growing amounts of electronic data in educational research. 

 

Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty designed the original Statdisk statistical software, and he has written several manuals and workbooks for technology supporting statistics education. He has been a speaker at many conferences and colleges. Marty’s consulting work includes the design of casino slot machines, the design of fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, analysing data in medical malpractice lawsuits, identifying salary inequities based on gender, and analysing disputed election results. 

 

Jason Roy, PhD, is Associate Professor of Biostatistics in the Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania. He received his PhD in Biostatistics in 2000 from the University of Michigan.  His statistical research interests are in the areas of causal inference, missing data, and prediction modeling. He is especially interested in the statistical challenges with analysing data from large healthcare databases. He collaborates in many different disease areas, including chronic kidney disease, cardiovascular disease, and liver diseases.