Introduction to probability and statistics
CALL NO : QA276 M537i 2020
IMPRINT : Boston, Mass. : Cengage Learning, c2020
The skill of statistical thinking is increasing in importance in this predominantly interdisciplinary and data-driven world. Mendenhall, Beaver, and Beaver’s INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition is a major overhaul from the previous edition, lowering the reading level, introducing concepts in a more intuitive way and significantly increasing homework scaffolding for difficulty level. Written in compliance with the GAISE college report, this text teaches students to become problem solvers who are adept at using technology to facilitate statistical reasoning as well as the interpretation of statistical results. Students will be able to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests and know what to do when statistical assumptions have been violated. The 15th edition contains 1884 exercises, employs real data throughout and includes at least 75% new or updated examples. INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition, adds new sections on the uniform and exponential distributions, normal probability plots for assessing normality, best subsets regression procedures and binary logistic regression. WebAssign accompanies this text. Designed by educators, WebAssign helps students learn not just do homework. With unmatched flexibility, tailor your course to diverse course models and learning styles. WebAssign grants students access to the ebook, assessments and analytics to enable them to be self-sufficient learners and help them succeed in your course. With features designed specifically for Statistics, WebAssign helps to address relevant applications, use of technology and conceptual understanding. Use additional material to accompany the text, including: news videos per chapter, pre-made Labs, Project Milestones, Simulation Questions by JMP and Concept Questions.