9781260299274-1260299279-Loose Leaf for Basic Statistics for Business & Economics

Loose Leaf for Basic Statistics for Business & Economics

ISBN-13: 9781260299274
ISBN-10: 1260299279
Edition: 9
Author: Douglas Lind, William Marchal, Samuel Wathen
Publication date: 2018
Publisher: McGraw Hill
Format: Loose Leaf 624 pages
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Book details

ISBN-13: 9781260299274
ISBN-10: 1260299279
Edition: 9
Author: Douglas Lind, William Marchal, Samuel Wathen
Publication date: 2018
Publisher: McGraw Hill
Format: Loose Leaf 624 pages

Summary

Loose Leaf for Basic Statistics for Business & Economics (ISBN-13: 9781260299274 and ISBN-10: 1260299279), written by authors Douglas Lind, William Marchal, Samuel Wathen, was published by McGraw Hill in 2018. With an overall rating of 3.8 stars, it's a notable title among other Statistics (Education & Reference) books. You can easily purchase or rent Loose Leaf for Basic Statistics for Business & Economics (Loose Leaf, New) from BooksRun, along with many other new and used Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.65.

Description

Basic Statistics for Business and Economics, Ninth Edition provides an introductory survey of descriptive and inferential statistics, using clear and succinct writing. The authors use a step-by-step approach to ease students into statistics concepts, improving motivation and building mastery, with a focus on understanding the application of statistical methods in business and economics.
The chapters in this edition have been reorganized to better match the corresponding learning objectives. Additionally, the goals of each section have been clarified for both instructors and students.
A Data Analytics section has been added to the end of each chapter, with new and revised exercises, to develop students' data analytical skills. Students will learn to evaluate, summarize, organize, and analyze information. They also will learn to think critically, improving their ability to interpret and articulate their findings.
Real-world exercises allow students to thoroughly understand how to apply each concept. Three data sets are used throughout the book, providing continuity as the exercises encourage students to build on what they have learned.
Digital resources within Connect help students apply what they've learned and achieve higher outcomes in the course.
Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that class time is more engaging and effective.

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