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Business Statistics, Global Edition, 3rd Edition

Editorial Reviews

Note: You are purchasing a standalone product; MyStatLab does not come packaged with this content. If you would like to purchase both the physical text and MyStatLab, search for ISBN-10: 0133866912/ISBN-13: 9780133866919. That package includes ISBN-10: 032192147X/ISBN-13: 9780321921475, ISBN-10: 0321929713/ISBN-13: 9780321929716, and ISBN-10: 0321925831 /ISBN-13: 9780321925831.

MyStatLab is not a self-paced technology and should only be purchased when required by an instructor.

Package consists of

032192147X/ 9780321921475 – MyStatLab for Business Statistics — Glue-In Access Card
0321929713/ 0321929713 / 9780321929716 – MyStatLab for Business Statistics Sticker

0321925831/ 9780321925831 – Business Statistics, 3/e

Business Statistics, Third Edition , by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice—relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues, with an emphasis on analysis and understanding over computation, the text helps students be analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.

Table of Contents

Part I Exploring and Collecting Data
Chapter 1 Data and Decisions (E-Commerce)
Chapter 2 Displaying and Describing Categorical Data (Keen, Inc.)
Chapter 3 Displaying and Describing Quantitative Data (AIG)
Chapter 4 Correlation and Linear Regression (Amazon.com)

Part II Modeling with Probability
Chapter 5 Randomness and Probability (Credit Reports and the Fair Isaacs Corporation)
Chapter 6 Random Variables and Probability Models (Metropolitan Life Insurance Company)
Chapter 7 The Normal and Other Continuous Distributions (The NYSE)
Chapter 8 Surveys and Sampling (Roper Polls)
Chapter 9 Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)

Part III Inference for Decision Making
Chapter 10 Testing Hypotheses about Proportions (Dow Jones Industrial Average)
Chapter 11 Confidence Intervals and Hypothesis Tests for Means (Guinness & Co.)
Chapter 12 More about Tests and Intervals (Traveler’s Insurance)
Chapter 13 Comparing Two Means (Visa Global Organization)
Chapter 14 Inference for Counts: Chi-Square Tests (SAC Capital)

Part IV Models for Decision Making
Chapter 15 Inference for Regression (Nambé Mills)
Chapter 16 Understanding Residuals (Kellogg’s)
Chapter 17 Multiple Regression (Zillow.com)
Chapter 18 Building Multiple Regression Models (Bolliger and Mabillard)
Chapter 19 Time Series Analysis (Whole Foods Market®)

Part V Selected Topics in Decision Making
Chapter 20 Design and Analysis of Experiments and Observational Studies (Capital One)
Chapter 21 Quality Control (Sony)
Chapter 22 Nonparametric Methods (i4cp)
Chapter 23 Decision Making and Risk (Data Description, Inc.)
Chapter 24 Introduction to Data Mining (Paralyzed Veterans of America)

Appendix A. Answers
Appendix B. Tables and Selected Formulas
Appendix C. Photo Acknowledgments

Book Details

  • Author:
  • Pages: 976 pages
  • Edition: 3rd edition
  • Publication Date: 2014-09-17
  • Publisher:
  • Language: English
  • ISBN-10: 1292058692
  • ISBN-13: 9781292058696

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Office Procedures for the 21st Century, 8th Edition

Editorial Reviews

This market-leading book helps readers acquire the office and interpersonal skills needed to excel in any organization. Its proven approach means students acquire these skills quickly and chapters introduce a range of topics including file management, time management, employment skills, basic financial forms, problem solving, human relations and more! This edition features more on communication, references Microsoft Office 2007, and expands the office simulation to include both functional and cumulative exercises. New chapters address the medical and legal office and new assignments develop employer-ready skills. New! Updated content includes topics such as:

  • Current office trends
  • The green office
  • Office politics
  • e-Portfolios
  • Displaying good manners
  • Ordering supplies online
  • Visitors and language barriers
  • Complaining customers
  • Steps for keying minutes
  • Steps for PowerPoint 2007 and more!

Table of Contents

Chapter 1. Understanding The Changing And Challenging Office
Chapter 2. Developing Professional Skills
Chapter 3. Preparing For Your Employment
Chapter 4. Time Management
Chapter 5. Telecommunications
Chapter 6. Building Communications Skills
Chapter 7. Processing Mail
Chapter 8. Records Management
Chapter 9. Banking And Accounting Procedures
Chapter 10. Scheduling Appointments And Receiving Visitors
Chapter 11. Making Travel Arrangements
Chapter 12. Planning Meetings And Conferences
Chapter 13. Developing Effective Oral Presentations
Chapter 14. Working In A Medical Office
Chapter 15. Working In A Legal Office
Chapter 16. Preparing To Meet The Challenges

Book Details

  • Pages: 832 pages
  • Edition: Pearson New International Edition
  • Publisher:
  • Language: English
  • ISBN-10: 1292042095
  • ISBN-13: 9781292042091

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OpenCV 3.x with Python By Example, 2nd Edition

Editorial Reviews

Key Features

  • Learn how to apply complex visual effects to images with OpenCV 3 and Python
  • Extract features from an image and use them to develop advanced applications
  • Build algorithms to help you understand image content and perform visual searches

Book Description

Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease.

We start off by applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. The book also covers popular OpenCV libraries with the help of examples. You will also learn about camera calibration and how to apply machine learning with artificial neural networks.

The book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications.

What you will learn

  • Detect shapes and edges from images and videos
  • How to apply filters on images and videos
  • Use different techniques to manipulate and improve images
  • Extract and manipulate particular parts of images and videos
  • Track objects or colors from videos
  • Recognize specific object or faces from images and videos
  • How to create Augmented Reality applications
  • Apply artificial neural networks and machine learning to improve object recognition

Table of Contents

Chapter 1: Applying Geometric Transformations to Images
Chapter 2: Detecting Edges and Applying Image Filters
Chapter 3: Cartoonizing an Image
Chapter 4: Detecting and Tracking Different Body Parts
Chapter 5: Extracting Features from an Image
Chapter 6: Seam Carving
Chapter 7: Detecting Shapes and Segmenting an Image
Chapter 8: Object Tracking
Chapter 9: Object Recognition
Chapter 10: Augmented Reality
Chapter 11: Machine Learning by an Artificial Neural Network

Book Details

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