Business Statistics: A Decision-Making Approach 9/E (PNIE)

Were you looking for the book with access to MyStatLab? This product is the book alone, and does NOT come with access to MyStatLab. Buy the book and access card package to save money on this resource.

For one or two semester Business Statistics courses.

A direct approach to business statistics, ordered in a signature step-by-step framework.

Students could have a competitive edge over new graduates and experienced employees if they know how to apply statistical analysis skills to real-world, decision-making problems. To help students achieve this advantage, Business Statistics uses a direct approach that consistently presents concepts and techniques in way that benefits students of all mathematical backgrounds. This text also contains engaging business examples to show the relevance of business statistics in action.

The eighth edition provides even more learning aids to help students understand the material.

Features

<>For one or two semester courses in Business Statistics.

A direct approach to business statistics, ordered in a signature step-by-step framework.

Students could have a competitive edge over new graduates and experienced employees if they know how to apply statistical analysis skills to real-world, decision-making problems. To help students achieve this advantage, Business Statistics uses a direct approach that consistently presents concepts and techniques in way that benefits students of all mathematical backgrounds. This text also contains engaging business examples to show the relevance of business statistics in action.

The eighth edition provides even more learning aids to help students understand the material.

 

Get students to see the business side–Business Applications.
One of Business Statistics’ strengths is its emphasis on business applications and decision-making. The eighth editions continues this emphasis by offering students many new business applications–all of which are highlighted with specially marked icons, making it easier for students to locate them within the text.

Walk students through concepts and techniques for a better understanding–Step-by-step Approach.
The eighth edition continues to present Groebner/Shannon/Fry/Smith’s signature step-by-step approach to reinforcing chapter material. This framework helps readers learn by example and put their knowledge into practice with extensive exercises that continue to increase in difficulty as they progress.

NEW! Help students prepare for the material–Quick Prep Links.
Quick Prep Links appear at the beginning of each chapter and supply students with several ways to prepare for the key topics that will be discussed in the reading.

NEW! Provide students with immediate feedback and built in tutorials–MyStatLab.
This book-specific, online homework and assessment tool provides a rich and flexible set of course materials, featuring free-response exercises that are algorithmically generated for unlimited practice and mastery. Students can also use a variety of online tools to independently improve their understanding and performance in the course. Instructors can use MyStatLab’s homework and test manager to select and assign their own online exercises and import TestGen tests for added flexibility.

NEW! Show students how to complete problems–Textual Examples and How To Do It

•How To Do It lists are provided throughout each chapter to summarize major techniques and reinforce fundamental concepts.
•Textual Examples appear throughout the text and provide step-by-step details enabling students to easily follow solution techniques. Students can then apply the methodology in these examples to solve other problems.

NEW! Help visual learners see the outcome–Visual Summaries.
Each main heading in this text is summarized using a flow diagram, which remind students of the intended outcomes and leads them to the chapter’s conclusion.

Summarize the main points and statistical techniques–Special Review Sections.
The Special Review Sections in this text provide a summary and review of key issues and statistical techniques. In addition, integrative questions and exercises ask students to demonstrate their comprehension of the topics covered in these sections.

OTHER POINTS OF DISTINCTION

Show students how real companies are using statistics–Real World Applications with Videos.
•McDonald’s Corporation Video Cases–The authors’ relationship with McDonald’s provides students with real-world statistical data and an integrated video case series.
Use the software of your choice–Integration with Minitab, Excel, and PHStat.
This text seamlessly integrates three versions of computer applications with textual examples and figures–always focusing on interpreting the output. The goal is for students to be able to know which tools to use, how to apply them, and how to analyze their results for making decisions.

New to this Edition

Textual examples: Many new business examples throughout the text provide step-by-step details, enabling students to follow solution techniques easily. These examples are provided in addition to the vast array of business applications to give students a real-world, competitive edge. Featured companies in these new examples include Dove Shampoo and Soap, the Frito-Lay Company, Goodyear Tire Company, Lockheed Martin Corporation, the National Federation of Independent Business, Oakland Raiders NFL Football, Southwest Airlines, and Whole Foods Grocery.

New Test Manual: A new test manual has been prepared with well-thought-out test question that correspond directly to this new edition.

MyStatLab: The latest version of this proven student learning tool provides textspecific online homework and assessment opportunities and offers a wide set of course materials, featuring free-response exercises that are algorithmically generated for unlimited practice and mastery. Students can also use a variety of online tools to independently improve their understanding and performance in the course. Instructors can use MyStatLab’s homework and test manager to select and assign their own online exercises and can import TestGen tests for added flexibility.

More Excel Focus: This edition features Excel 2010, with Excel 2010 screen captures used extensively throughout the text to illustrate how this highly regarded software is used as an aid to statistical analysis. While Minitab screen captures have been removed from this edition to improve the flow and readability, detailed Excel 2010 and Minitab instructions are included.

New Business Applications: Numerous new business applications have been included in this edition to provide students current examples showing how the statistical techniques introduced in this text are actually used by real companies. The new applications involve familiar companies and products. These applications help students understand the relevance of statistics and are motivational. These applications cover all business areas from accounting and finance to supply chain management.

New Exercises and Data Files: New exercises have been included throughout the text, and other exercises have been revised and updated. Many new data files have been added to correspond to the new Computer Database exercises, and other data files have been updated with current data.

Improved Notation: The notation associated with population and sample proportions has been revised and improved to be consistent with the general approach taken by most faculty who teach the course.

1. The Where, Why, and How of Data Collection
2. Graphs, Charts, and Tables–Describing Your Data
3. Describing Data Using Numerical Measures
1—3. Special Review Section
4. Introduction to Probability
5. Discrete Probability Distributions
6. Introduction to Continuous Probability Distributions
7. Introduction to Sampling Distributions
8. Estimating Single Population Parameters
9. Introduction to Hypothesis Testing
10. Estimation and Hypothesis Testing for Two Population Parameters
11. Hypothesis Tests and Estimation for Population Variances
12. Analysis of Variance
8—12. Special Review Section
13. Goodness-of-Fit Tests and Contingency Analysis
14. Introduction to Linear Regression and Correlation Analysis
15. Multiple Regression Analysis and Model Building
16. Analyzing and Forecasting Time-Series Data
17. Introduction to Nonparametric Statistics
18. Introduction to Quality and Statistical Process Control