Sale!

Introduction to Statistical Investigations 2nd Edition – PDF ebook

Introduction to Statistical Investigations 2nd Edition – PDF ebook Copyright: 2021, Edition: 2nd, Author: Nathan Tintle; Beth L. Chance; George W. Cobb; Allan J. Rossman; Soma Roy; Todd Swanson; Jill Vander, Publisher: Wiley, Print ISBN: 9781119683452, etext ISBN: 9781119683568, Format: PDF

Original price was: $99.00.Current price is: $23.00.

Buy Introduction to Statistical Investigations 2nd Edition PDF ebook by author Nathan Tintle; Beth L. Chance; George W. Cobb; Allan J. Rossman; Soma Roy; Todd Swanson; Jill Vander – published by Wiley in 2021 and save up to 80%  compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
You can search our site for other versions of the Introduction to Statistical Investigations 2nd Edition PDF ebook. You can also search for others PDF ebooks from publisher Wiley, as well as from your favorite authors. We have thousands of online textbooks and course materials (mostly in PDF) that you can download immediately after purchase.
Note: e-textBooks do not come with access codes, CDs/DVDs, workbooks, and other supplemental items.
eBook Details:

Full title: Introduction to Statistical Investigations 2nd Edition
Edition: 2nd
Copyright year: 2021
Publisher: Wiley
Author: Nathan Tintle; Beth L. Chance; George W. Cobb; Allan J. Rossman; Soma Roy; Todd Swanson; Jill Vander
ISBN: 9781119683452, 9781119683568
Format: PDF

Description of Introduction to Statistical Investigations 2nd Edition:
Introduction to Statistical Investigations, Second Edition provides a unified framework for explaining variation across study designs and variable types, helping students increase their statistical literacy and appreciate the indispensable role of statistics in scientific research. Requiring only basic algebra as a prerequisite, the program uses the immersive, simulation-based inference approach for which the author team is known. Students engage with various aspects of data collection and analysis using real data and clear explanations designed to strengthen multivariable understanding and reinforce concepts. Each chapter follows a coherent six-step statistical exploration and investigation method (ask a research question, design a study, explore the data, draw inferences, formulate conclusions, and look back and ahead) enabling students to assess a variety of concepts in a single assignment. Challenging questions based on research articles strengthen critical reading skills, fully worked examples demonstrate essential concepts and methods, and engaging visualizations illustrate key themes of explained variation. The end-of-chapter investigations expose students to various applications of statistics in the real world using real data from popular culture and published research studies in variety of disciplines. Accompanying examples throughout the text, user-friendly applets enable students to conduct the simulations and analyses covered in the book.