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Business Statistics: A Decision - Making Approach 8/e

作者：David F. Groebner, Patrick W. Shannon, Phillip C. Fry, Kent D. Smith
原價：NT$ 1,050

ISBN：9780136113508
版次：8
年份：2011
出版商：Pearson Education

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內容介紹本書特色目錄

Description
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.

New to this Edition

Textual examples: More than 50 new examples throughout the text provide step-by-step details, enabling students to follow solution techniques easily. Students can then apply the methodology from each example to solve other problems. 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.

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.

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

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.

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.

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

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