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

Services


Inclusive 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

Remote Proctoring
Validate online exams even offsite

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

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

Basic Statistics in Business and Economics
Basic Statistics in Business and Economics

Basic Statistics in Business and Economics, 10th Edition

ISBN10: 1260716317 | ISBN13: 9781260716313
By Douglas Lind, William Marchal and Samuel Wathen

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):

   Basic Statistics in Business & Economics provides students majoring in management, marketing, finance, accounting, economics, and other fields of business administration with an introductory survey of descriptive and inferential statistics. Many examples and exercises that focus on business applications are used to illustrate the application of statistics, but also relate to the current world of the college student. A previous course in statistics is not necessary, and the mathematical requirement is first-year algebra. 
   Students are given every step needed to be successful in a basic statistics course. This step-by-step approach enhances performance, accelerates preparedness, and significantly improves motivation. Understanding the concepts, seeing and doing plenty of examples and exercises, and comprehending the application of statistical methods in business and economics are the focus of this book. 
   Today, the practice of data analytics is widely applied to big data. The practice of data analytics requires skills and knowledge in several areas. Computer skills are needed to process large volumes of information. Analytical skills are needed to evaluate, summarize, organize, and analyze the information. Critical thinking skills are needed to interpret and communicate the results of processing the information. This text supports the development of basic data analytical skills with the end of each chapter sections called Data Analytics providing the instructor and student with opportunities to apply statistical knowledge and statistical software to explore several business environments. Interpretation of the analytical results is an integral part of these exercises. 
   A variety of statistical software is available to complement the 10th edition. Microsoft Excel includes an add-in with many statistical analyses. MegaStat is an add-in available for Microsoft Excel. Minitab and JMP are stand-alone statistical software packages available to download for either PC or Mac. In the text, Microsoft Excel, Minitab, and MegaStat are used to illustrate statistical software analyses. The text also includes references or links to Excel tutorials in Connect. These provide users with clear demonstrations using statistical software to create graphical and descriptive statistics and statistical analyses to test hypotheses. 
   Digital resources within McGraw Hill Connect® help students apply what they've learned and achieve higher outcomes in the course. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need when they need it and how they need it so that class time is more engaging and effective.


Chapter 1: What is Statistics?

Chapter 2: Describing Data: Frequency Tables, FrequencyDistributions, and Graphic Presentation

Chapter 3: Describing Data: Numerical Measures

Chapter 4: Describing Data: Displaying and Exploring Data

Chapter 5: A Survey of Probability Concepts

Chapter 6: Discrete Probability Distributions

Chapter 7: Continuous Probability Distributions

Chapter 8: Sampling, Sampling Methods, and the Central LimitTheorem

Chapter 9: Estimation and Confidence Intervals

Chapter 10: One-Sample Tests of Hypothesis

Chapter 11: Two-Sample Tests of Hypothesis

Chapter 12: Analysis of Variance

Chapter 13: Correlation and Linear Regression

Chapter 14: Multiple Regression Analysis

Chapter 15: Nonparametric Methods: Nominal-Level HypothesisTests

Appendixes: Data Sets, Tables, Answers

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

Douglas Lind

Douglas A. Lind earned his B.S. in Business from Bowling Green State University, and his Ph.D. and M.B.A. from the University of Toledo. He is Emeritus Professor at Coastal Carolina University and the University of Toledo. Dr. Lind is a co-author of Statistical Techniques in Business and Economics with the late Robert D. Mason and William G. Marchal. He has more than 38 years of college teaching experience, including teaching statistics at the introductory, intermediate, and advanced undergraduate levels, as well as graduate courses in statistics and research methods. Dr. Lind is a past recipient of the Tony DeJute Outstanding Teacher Award.

William Marchal

William G. Marchal earned his B.S. in mathematics from the University of Dayton, his M.A. in mathematics from Catholic University of America, and his D.Sc. in operations research from George Washington University. He is Emeritus Professor of Information Systems and Operations Management at the University of Toledo College of Business Administration. Dr. Marchal has held visiting appointments at the University of Michigan and at George Mason University. He has worked at the Executive Office of the District of Columbia government, the George Washington University Institute for Management Science, and the U.S. Army Chemical Research and Development Center. He has also served as an associate editor of Naval Research Logistics.

Samuel Wathen

Samuel A. Wathen earned his B.S. in forestry from the University of Illinois, an M.B.A. from Oklahoma State University, an M.S. in forest biometrics from Virginia Polytechnic Institute and State University, and his Ph.D. in business administration from the University of Minnesota. He is Distinguished Professor Emeritus of Management and Decision Sciences in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. Dr. Wathen's research interests include applied statistics, teaching methods, and manufacturing and service process design. Most recently, he published the article “Using Real‐Life Major League Baseball Data in an Introductory Statistics Course” in the Decision Sciences Journal of Innovative Education.  

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.