Request for consultation

Thanks for your request. You’ll soon be chatting with a consultant to get the answers you need.
Your form is submitting...
{{formPostErrorMessage.message}} [{{formPostErrorMessage.code}}]
Email Address is required. 'Email Address' must contain at least 0 characters 'Email Address' cannot exceed 0 characters Please enter a valid Email Address
First Name is required. 'First Name' must contain at least 0 characters 'First Name' cannot exceed 0 characters Please enter a valid First Name
Last Name is required. 'Last Name' must contain at least 0 characters 'Last Name' cannot exceed 0 characters Please enter a valid Last Name
Institution is required.
Discipline is required.
Cengage, at your service! How can we best meet your needs? is required.
Why are you contacting us today? is required. 'Why are you contacting us today?' must contain at least 0 characters 'Why are you contacting us today?' cannot exceed 0 characters Please enter a valid Why are you contacting us today?

BSTAT with Printed Access Card (6-months) for CourseMate, 1st Edition |

Gerald Keller, Lisa MacKay

  • Copyright 2016
  • {{checkPublicationMessage('Published', '2015-01-05T00:00:00+0000')}}
Starting At $117.95 See pricing and ISBN options
Instructor Next Steps
BSTAT with Printed Access Card (6-months) for CourseMate 1st Edition by Gerald Keller/Lisa MacKay
Quick Navigation

Overview

Created through a "student-tested, faculty-approved" review process BSTAT is an engaging and accessible solution to accommodate the diverse lifestyles of today's learners at a value-based price. BSTAT's engaging approach focuses on the fundamental concepts of statistics that are most important for your students to know. The authors emphasizes applications rather than calculations, vividly demonstrating the vital role of statistics for today's business managers and relevance of data analysis. BSTAT teaches your students to use statistical tools to solve actual business problems with a three-step approach that emphasizes how to identify the correct technique, compute the statistics, and interpret the results within context. Students gain a solid understanding of how to complete manual calculations while learning to maximize the latest Excel® 2010 and Minitab 16 technology with the book's numerous examples and applications. Chapter-in-Review cards provide quick reference to important formulas and guides for using Excel® 2010 and MINITAB 16. A wealth of instructor support and interactive online learning tools to accompany BSTAT help you further reinforce the applications of statistics in business today.

{{readMore['overview'] ? 'Read More' : 'Read Less'}}

Meet the Authors

{{collapseContainerClosed['meet-the-author'] ? 'Show More' : 'Show Less'}}

Gerald Keller

Gerald Keller is emeritus professor of business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011.

Lisa MacKay

Lisa MacKay (SAIT) is an instructor of mathematics and statistics at SAIT Polytechnic, where she has taught for over 13 years. She has a Bachelor’s Degree in Physics as well as a Bachelor of Education Degree from Mount Allison University. She has completed the coursework for her Master’s Degree in Astrophysics at The University of Calgary. She has completed projects editing and reviewing several mathematics and statistics texts and has been involved in both curriculum and course development at SAIT. Lisa owns her own business which has been in operation for over five years.

What's New

{{collapseContainerClosed['whats-new'] ? 'Show More' : 'Show Less'}}
  • New examples have been added throughout the text to help students relate to the concepts being presented, these include the Canadian brewing industry, the Canadian fast food market, the Canadian Census, the Government of Canada as an employer and the amount of household consumer debt in Canada.
  • Limits on summation symbols have been removed from formulae in order to simplify the look and make them easier for students to understand.
  • Many new topics have been incorporated, according to reviewer suggestions, such as frequency polygons, systematic sampling, Venn diagrams, hypergeometric probability distribution.
  • Definitions and formulae have been assigned designated colours in this edition for clarity.

Features

{{collapseContainerClosed['features'] ? 'Show More' : 'Show Less'}}
  • Problem-solving approach that emphasizes applications over calculations. This text demonstrates the vital role of statistical methods play for today's managers and economists. Students learn how to apply statistical tools to real business problems, using the unique three-step "ICI" approach to problem solving. Students learn to IDENTIFY the correct statistical technique by focusing on the problem objective and data type. They then COMPUTE the statistics – by hand, using Excel®, or using MINITAB. Students ultimately INTERPRET results in the context of the problem.
  • An innovative combination of content in print and online. Based on input from student focus groups and surveys this visually engaging core text and wealth of integrated multimedia teaching and learning resources produces an engaging and accessible solution that appeals to different learning styles at a value-based price.
  • BSTAT uses an engaging and accessible format to deliver statistics, managerial, and problem solving content without minimizing coverage for your course.
  • This edition provides a variety of class-tested Review Exercises to help ensure your students have mastered the techniques in each section and chapter.
  • Chapter Review Cards contain all of the pertinent information students need for effective class preparation, including key formulas as well as Quick-use Guides for Excel® and MINITAB.
  • Your students have the opportunity to work with large real datasets as they apply the manual and software techniques that they learn throughout your course.

Table of Contents

{{collapseContainerClosed['table-of-contents'] ? 'Show More' : 'Show Less'}}
Chapter 1: What Is Statistics?
Chapter 2: Graphical and Tabular Descriptive Techniques
Chapter 3: Numerical Descriptive Techniques
Chapter 4: Data Collection and Sampling
Chapter 5: Probability
Chapter 6: Random Variables and Discrete Probability Distributions
Chapter 7: Continuous Probability Distributions
Chapter 8: Sampling Distributions
Chapter 9: Introduction to Estimation
Chapter 10: Introduction to Hypothesis Testing
Chapter 11: Inference about a Population
Chapter 12: Inference about Comparing Two Populations, Part 1
Chapter 13: Inference about Comparing Two Populations, Part 2
Chapter 14: Analysis of Variance
Chapter 15: Chi-Squared Tests
Chapter 16: Simple Linear Regression and Correlation
Chapter 17: Multiple Regression
Chapter 18: Review of Statistical Inference
Appendix A: Data File Sample Statistics
Appendix B: Tables
Appendix C: Answers to Selected Even-Numbered Exercises
Appendix D: A Guide to Statistical Techniques
Appendix E: Index of Computer Output and Instructions
Index

Compare Buying Options

{{collapseContainerClosed['compare-buying-options'] ? 'Show More' : 'Show Less'}}