Statistics for Managers Using Microsoft Excel, Global Edition (8e) : 9781292156347

# Statistics for Managers Using Microsoft Excel, Global Edition (8e)

Levine / Stephan / Szabat

Edition

8
ISBN

9781292156347
ISBN 10

1292156341
Published

27/10/2016

Pearson Higher Ed USA
Pages

728
Format

Available on demand

Book
\$157.99

#### Related digital items

\$65.00

##### Description

Analysing the Data Applicable to Business

This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analysing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning.

The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel.

• 1. Defining and Collecting Data
• 2. Organizing and Visualizing Variables
• 3. Numerical Descriptive Measures
• 4. Basic Probability
• 5. Discrete Probability Distributions
• 6. The Normal Distribution and Other Continuous Distributions
• 7. Sampling Distributions
• 8. Confidence Interval Estimation
• 9. Fundamentals of Hypothesis Testing: One-Sample Tests
• 10. Two-Sample Tests
• 11. Analysis of Variance
• 12. Chi-Square and Nonparametric Tests
• 13. Simple Linear Regression
• 14. Introduction to Multiple Regression
• 15. Multiple Regression Model Building
• 16. Time-Series Forecasting
• 17. Getting Ready to Analyze Data in the Future
• Appendices
• A. Basic Math Concepts and Symbols
• B. Important Excel and Minitab Skills and Concepts
• C. Online Resources
• D. Configuring Microsoft Excel
• E. Tables
• F. Useful Excel Knowledge
• G. Software FAQs
• Self-Test Solutions and Answers to Selected Even-Numbered Problems
• Index
##### New to this edition

New and updated features

• Important Things to Learn First: this chapter has been developed for distribution online even before a first class meeting. Instructors teaching online or hybrid course sections may find this to be a particularly valuable tool to get students thinking about business statistics and learning the necessary foundational concepts.
• Getting Ready to Analyze Data in the Future: this newly expanded version of Chapter 17 adds a second Using Statistics scenario that serves as an introduction to business analytics methods. That introduction, in turn, explains several advanced Excel features while familiarizing students with the fundamental concepts and vocabulary of business analytics. As such, the chapter provides students with a path for further growth and greater awareness about applying business statistics and analytics in their other courses and their business careers.
• Expanded Excel Coverage Worksheet instructions replace the In-Depth Excel instructions in the Excel Guides and discuss more fully OS X Excel ("Excel for Mac") differences when they occur. Because the many current versions of Excel have varying capabilities, Appendix B begins by sorting through the possible confusion to ensure that students understand that not all Excel version, are alike.
• In the Worksheet Notes help explain the worksheet illustrations that in-chapter examples use as model solutions.
• Many more Exhibits, stand-alone summaries of important procedures that serve as a review of chapter passages.

• The new First Things First Chapter replaces the seventh edition’s Let’s Get Started Chapter, keeping that chapter’s strength while immediately drawing readers into the changing face of statistics and business analytics with a new opening Using Statistics scenario. And like the previous edition’s opening chapter, Pearson Education openly posts this chapter so students can get started learning business statistics even before they obtain their textbooks.
• Chapter 1 builds on the opening chapter with a new Using Statistics scenario that offers a cautionary tale about the importance of defining and collecting data. Rewritten Sections 1.1 (“Defining Variables”) and 1.2 (“Collecting Data”) use lessons from the scenario to underscore important points. Over one-third of the problems in this chapter are new or updated.
• Chapter 2 features several new or updated data sets, including a new data sample of 407 retirement funds that illustrate a number of descriptive methods. The chapter now discusses doughnut charts and sparklines and contains a reorganized section on organizing and visualizing a mix of variables. Section 2.7 (“The Challenge in Organizing and Visualizing Variables”) expands on previous editions’ discussions that focused solely on visualization issues. This chapter uses an updated Clear Mountain State student survey as well. Over half of the problems in this chapter are new or updated.
• Chapter 3 also uses the new retirement funds sample of 407 mutual funds and uses new or updated data sets for almost all examples that the chapter presents. Updated data sets include the restaurant meal cost samples and the NBA values data. This chapter also uses an updated Clear Mountain State student survey. Just under one-half of the problems in this chapter are new or updated.
• Chapter 4 uses an updated Using Statistics scenario while preserving the best features of this chapter. The chapter now starts a section on Bayes’ theorem which completes as an online section, and 43% of the problems in the chapter are new or updated.
• Chapter 5 has been streamlined with the sections “Covariance of a Probability Distribution and Its Application in Finance” and “Hypergeometric Distribution” becoming online sections. Nearly 40% of the problems in this chapter are new or updated.
• Chapter 6 features an updated Using Statistics scenario and the section “Exponential Distribution” has become online sections. This chapter also uses an updated Clear Mountain State student survey. Over one-third of the problems in this chapter are new or updated.
• Chapter 7 now contains an additional example on sampling distributions from a larger population, and one-in-three problems are new or updated.
• Chapter 8 has been revised to provide enhanced explanations of Excel worksheet solutions and contains a rewritten “Managing Ashland MultiComm Services” case. This chapter also uses an updated Clear Mountain State student survey, and new or updated problems comprise 39% of the problems.
• Chapter 9 contains refreshed data for its examples and enhanced Excel coverage that provides greater details about the hypothesis test worksheets that the chapter uses. Over 40% of the problems in this chapter are new or updated.
• Chapter 10 contains a new Using Statistics scenario that relates to sales of streaming video players and that connects to Using Statistics scenarios in Chapters 11 and 17. This chapter gains a new online section on effect size. The Clear Mountain State survey has been updated, and over 40% of the problems in this chapter are new or updated.
• Chapter 11 expands on the Chapter 10 Using Statistics scenario that concerns the sales of mobile electronics. The Clear Mountain State survey has been updated. Over one-quarter of the problems in this chapter are new or updated.
• Chapter 12 now incorporates material that was formerly part of the “Short Takes” for the chapter. The chapter also includes updated “Managing Ashland MultiComm Services” and Clear Mountain State student survey cases and 41% of the problems in this chapter are new or updated.
• Chapter 13 features a brand new opening passage that better sets the stage for the discussion of regression that continues in subsequent chapters. Chapter 13 also features substantially revised and expanded Excel coverage that describes more fully the details of regression results worksheets. Nearly one-half of the problems in this chapter are new or updated.
• Chapter 14 likewise contains expanded Excel coverage, with some Excel Guides sections completely rewritten. As with Chapter 13, nearly one-half of the problems in this chapter are new or updated.
• Chapter 15 contains a revised opening passage, and the “Using Transformations with Regression Models” section has been greatly expanded with additional examples. Over 40% of the problems in this chapter are new or updated.
• Chapter 16 contains updated chapter examples concerning movie attendance data and Cola-Cola Company and Wal-Mart Stores revenues. Two-thirds of the problems in this chapter are new or updated.
• Chapter 17 has been retitled “Getting Ready to Analyze Data” and now includes sections on Business Analytics that return to issues that the First Things First Chapter scenario raises and that provide students with a path to future learning and application of business statistics. One-half of the problems in this chapter are new or updated.

MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

MyStatLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

• Excel launch enables students to quickly and easily launch data sets from exercises into a Microsoft Excel spreadsheet for analysis.
• Excel 2016 questions (for both Windows® and Mac®) let you take advantage of the latest software.
• Learning Catalytics questions for Business Statistics help students develop on-the-spot critical thinking and application of statistical concepts. Learning Catalytics is an interactive student response tool that uses students’ smartphones, tablets, or laptops to engage them in more sophisticated tasks and thinking. Now included with MyLab & Mastering with eText, Learning Catalytics enables you to generate classroom discussion, guide your lecture, and promote peer-to-peer learning with real-time analytics.

##### Features & benefits
• Analysing data with a focus on software results: the authors believe that using computer software is a vital part of learning statistics. This text emphasises data analysis through interpretation of the results from Microsoft Excel®, reducing the focus on doing the computations by hand. Excel content includes:
• End-of-chapter Excel Guides
• In-depth Excel step-by-step instructions
• Excel Guide workbooks
• PHStat, a statistics add-in system for Excel
• Five appendices:
• Appendix B introduces the fundamentals of using Excel and Minitab®.
• Appendix C elaborates on accessing available online resources, including PHStat.
• Appendix D and F discusses useful Excel operations.
• Improved compatibility with all Mac Excel versions and OpenOffice.org Calc 3, the open-source, Excel work-alike application (in-depth Excel instructions only).
• An Integrated Five-step Approach make it easier for students to follow the progression of applying statistics: Define, Collect, Organise, Visualise, Analyse.
• First Things First sets the context for explaining what statistics is (not what students may think), while ensuring that students understand why learning business statistics is important today. This chapter is especially helpful for instructors using course management tools, including hybrid or online courses; this chapter is designed for distribution before the first class begins.

NEW! First Things First has been redesigned as a "pre-chapter" and contains a new Using Statistics scenario.

• Using Statistics business scenarios begin each chapter, showing how statistics is used in accounting, finance, information systems, management, or marketing. Scenarios are then used throughout the chapter to provide an applied context for the concepts, to bring students from knowing to applying.

Digital Cases ask students to examine interactive PDF documents and sift through claims and information in order to discover the data most relevant to a business case scenario. Students determine whether the conclusions and claims are supported by the data, and in doing, they discover and learn how to identify common misuses of statistical information.

• Student Tips in the margin reinforce hard-to-master concepts and provide quick study tips for mastering important details.
• Getting Ready to Analyse Data in the Future: the final chapter helps students understand how to make decisions about which statistical methods to use in real world problems. This capstone chapter bring the issues in First Things First scenarios full circle, and gives students the ability to apply business statistics to the real world.

UPDATED! For the new edition, the chapter now includes sections on Business Analytics.

• Case Studies offer realistic business scenarios Apply fundamental concepts. This text contains:
• Detailed case studies that are included in numerous chapters.
• A "Managing Ashland MultiComm Services" continuing case.
• NEW! Recurring student survey case called "The Clear Mountain Student Survey"