Mathematical Statistics with Applications
By Dennis Wackerly, John Chen, Adam Loy
About your course materials
Wackerly/Chen/Loy’s “Mathematical Statistics with Applications” 8th Edition, with WebAssign, builds a solid foundation in statistical theory while conveying its relevance in solving practical problems in the real world. Students discover the nature of statistics and understand its essential role in scientific research. The focused approach emphasizes the connectivity of key concepts with statistical inference being the primary theme. Updated to engage all students, the new edition includes enhanced insights and cutting-edge knowledge on theory and applications of statistics today. It preserves the elegance of the previous edition, while embracing new methodologies in data science, statistical learning and biostatistics.
Related study tools
WebAssign for Wackerly's Mathematical Statistics with Applications, Single-Term Instant Access
WebAssign for Wackerly/Chen/Loy’s “Mathematical Statistics with Applications”, 8th Edition, is a flexible and fully customizable online instructional solution that puts powerful tools in the hands of…
Frequently asked questions
How do I enroll in or join my course?
How do I redeem an access code, or what if my code isn't working?
Why can't I access my course?
Where can I find my eBook or textbook?
What if I don't have access to my course materials yet?
About this product
Wackerly/Chen/Loy’s “Mathematical Statistics with Applications” 8th Edition, with WebAssign, builds a solid foundation in statistical theory while conveying its relevance in solving practical problems in the real world. Students discover the nature of statistics and understand its essential role in scientific research. The focused approach emphasizes the connectivity of key concepts with statistical inference being the primary theme. Updated to engage all students, the new edition includes enhanced insights and cutting-edge knowledge on theory and applications of statistics today. It preserves the elegance of the previous edition, while embracing new methodologies in data science, statistical learning and biostatistics.
Statistical inference and its role in scientific research are emphasized and reinforced throughout the coverage of probability topics.
Stressing connectivity, the authors explain not only how major topics play a role in statistical inference but also how the topics are related to one another.
This text takes a practical approach in both the exercises throughout and the useful topics in statistical methodology covered in the last five chapters.
Exercises are based on real data or actual experimental scenarios which allow students to see the practical uses of various statistical and probabilistic methods.
Table of contents
Chapters
Chapter 1. What Is Statistics?Preview this chapter
Resources
Instructor resources for this title can include manuals, test banks, educator guides, multimedia and companion sites. Sign in to see what is available.
Pricing and formats
WebAssign
Deliver STEM practice and problem solving with flexible assignments, accurate grading, and AI support.
Give students more with Cengage Unlimited
Choose the Cengage content and Learning Platform that fit your course while giving students access to Cengage Learning Platforms and our entire eBook library with one subscription.
4-12 month student access
eBook
Give students digital access to textbook content with tools to highlight, bookmark and search as they read.
Paperback

Still need support?




