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  Introduction to Statistics and Data Analysis, 6th Edition

Author Автор: VnRuEn | Date Дата: 22 ноября 2021| Views Просмотров: 0

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Introduction to Statistics and Data Analysis, 6th Edition

English | 2020 | ISBN: ‎ 1337793612 | 889 pages | True PDF | 93.13 MB

Peck, Short, and Olsen's INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 6th Edition lowers the reading level from the previous edition and significantly increases homework scaffolding for difficulty level. In order to get students thinking statistically, this text stresses interpretation and communication of statistical information through hands-on, activity based learning using real data. Written in compliance with the GAISE college report and employing techniques based on modern research into student learning, this text places emphasis on how concepts apply to students and the world around them, then gets into methods using data analysis tools or hand-calculations where necessary. This 6th Edition contains new sections on randomization-based inference: bootstrap methods for simulation-based confidence intervals and randomization tests of hypotheses. These new sections are accompanied by online Shiny apps, which can be used to construct bootstrap confidence intervals and to carry out randomization tests. In addition, a new visualization tool at statistics.cengage.com will help instructors teach and students understand these new concepts. 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. NEW for Fall 2020 - Turn your students into statistical thinkers with the Statistical Analysis and Learning Tool (SALT). SALT is an easy-to-use data analysis tool created with the intro-level student in mind. It contains dynamic graphics and allows students to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind data. SALT is built by Cengage, comes integrated in Cengage WebAssign Statistics courses and available to use standalone.



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