My Account Details
ISBN10: 1265032106 | ISBN13: 9781265032104
Applied Statistics in Business and Economics
- Lowest Price!
McGraw Hill eBook
Textbook Rental (150 Days Access)
- Rent for a fraction of the printed textbook price
- Complete text bound in hardcover or softcover
Loose-Leaf Purchase
Unbound loose-leaf version of full text
Shipping Options
- Standard
- Next-day air
- 2nd-day air
Orders within the United States are shipped via FedEx or UPS Ground. For shipments to locations outside of the U.S., only standard shipping is available. All shipping options assume the product is available and that processing an order takes 24 to 48 hours prior to shipping.
Note: Connect can only be used if assigned by your instructor.
Connect (180 Days Access)
- Digital access to a comprehensive online learning platform
- Includes homework, study tools, eBook, and adaptive assignments
- Download the free ReadAnywhere app to access the eBook offline
McGraw Hill eBook
Details:
- Normally the lowest price option for students
- Integrates in your LMS
- Accessible tools for students, including read-aloud functionality, jump links and dynamic note-taking and highlighting features
Textbook Rental (150 Days Access)
Details:
- Rentable option
- Hardcopy and softcover formats
Loose-Leaf Purchase
Details:
- Unbound loose-leaf version of full text
Connect (180 Days Access)
Details:
- Integrates in your LMS
- Prebuilt courses, presentation slides and instructor resources
- Test question banks, adaptive assignments, essay prompts, video content and more interactive exercises specific to your course subject
- eBook access (with included ReadAnywhere app)
- Print book add-on availability
- Remote proctoring
* 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.
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.
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
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.
Need support? We're here to help - Get real-world support and resources every step of the way.