Skip to main content

Humanities, Social Science and Language


Digital Products


Connect®
Course managementreporting, and student learning tools backed by great support.

McGraw Hill GO
Greenlight learning with the new eBook+

ALEKS®
Personalize learning and assessment

ALEKS® Placement, Preparation, and Learning
Achieve accurate math placement

SIMnet
Ignite mastery of MS Office and IT skills

McGraw Hill eBook & ReadAnywhere App
Get learning that fits anytime, anywhere

Sharpen: Study App
A reliable study app for students

Virtual Labs
Flexible, realistic science simulations

AI Reader
Encourage Discovery, Boost Understanding

Services


Affordable Access
Reduce costs and increase success

LMS Integration
Log in and sync up

Math Placement
Achieve accurate math placement

Content Collections powered by Create®
Curate and deliver your ideal content

Custom Courseware Solutions
Teach your course your way

Professional Services
Collaborate to optimize outcomes

Lecture Capture
Capture lectures for anytime access

Remote Proctoring
Validate online exams even offsite

Institutional Solutions
Increase engagement, lower costs, and improve access for your students

Evergreen
Updated, relevant materials—without the hassle.

Support


General Help & Support Info
Customer Service & Tech Support contact information

Online Technical Support Center
FAQs, articles, chat, email or phone support

Support At Every Step
Instructor tools, training and resources for ALEKS, Connect & SIMnet

Instructor Sample Requests
Get step by step instructions for requesting an evaluation, exam, or desk copy

Platform System Check
System status in real time

Applied Statistics in Business and Economics: 2024 Release
Applied Statistics in Business and Economics: 2024 Release

Applied Statistics in Business and Economics: 2024 Release

ISBN10: 1265032106 | ISBN13: 9781265032104
By David Doane and Lori Seward

Format Options:

* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Instructor Information

Quick Actions (Only for Validated Instructor Accounts):

The 2024 release of Applied Statistics in Business and Economics offers a complete yet student-friendly application-based approach necessary for student success in the classroom and beyond. This title continues to focus on Excel and business applications, with new Integrated Excel exercises and concept videos, while also taking into account that the analytics world is using more sophisticated tools with the addition of an optional section on R for each chapter to expose students to the application of R to solve statistical problems. This title also includes updated and applicable Analytics in Action briefings and Mini Cases in each chapter to help students tie concepts to real-world situations found in today’s business environment, further promoting career-readiness. 

  1 Overview of Statistics 
  2 Data Collection 
  3 Describing Data Visually 
  4 Descriptive Statistics 
  5 Probability 
  6 Discrete Probability Distributions 
  7 Continuous Probability Distributions 
  8 Sampling Distributions and Estimation 
  9 One-Sample Hypothesis Tests 
 10 Two-Sample Hypothesis Tests 
 11 Analysis of Variance 
 12 Simple Regression 
 13 Multiple Regression 
 14 Time-Series Analysis 
 15 Chi-Square Tests 
 16 Nonparametric Tests 
 17 Quality Management 
 18 Simulation 

 Appendix A: Binomial Probabilities 
 Appendix B: Poisson Probabilities 
 Appendix C-1: Standard Normal Areas 
 Appendix C-2: Cumulative Standard Normal Distribution 
 Appendix D: Student’s t Critical Values 
 Appendix E: Chi-Square Critical Values 
 Appendix F: Critical Values of F.10  
 Appendix G: Solutions to Odd-Numbered Exercises 
 Appendix H: Answers to Exam Review Questions 
 Appendix I: Writing and Presenting Reports 
 Appendix J: Statistics in Excel and R 
 Appendix K: Using R and RStudio 



McGraw Hill Connect Product Logo

Main Features

  • LMS Integration
  • Print/Loose-Leaf Book Add-On Availability
  • Presentation Slides & Instructor Resources
  • Question & Test Banks
  • Adaptive Assignments
  • Student Progress Reporting & Analytics
  • Essay Prompts
  • Polling
  • Prebuilt Courses
  • Interactive Exercises
  • eBook Access (ReadAnywhere App)
  • Remote Proctoring (Proctorio)
  • Subject-Specific Tools

About the Author

David Doane

David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School.

Lori Seward

Lori E. Seward is an Instructor in the Decisions Sciences Department in the College of Business at The University of Colorado at Denver and Health Sciences Center. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech. After several years working as a reliability and quality engineer in the paper and automotive industries, she earned her PhD from Virginia Tech.

Accessibility

Creating accessible products is a priority for McGraw Hill. We make accessibility and adhering to WCAG AA guidelines a part of our day-to-day development efforts and product roadmaps.

For more information, visit our accessibility page, or contact us at accessibility@mheducation.com

affordability icon

Affordability

Reduce course material costs for your students while still providing full access to everything they need to be successful. It isn't too good to be true - it's Inclusive Access.

Need support?   We're here to help - Get real-world support and resources every step of the way.