Business Statistics: For Contemporary Decision Making, 9th Edition

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Business Statistics: For Contemporary Decision Making, 9th Edition

By Ken Black

Business Statistics continues the tradition of presenting and explaining the wonders of business statistics through a clear, complete, student-friendly pedagogy. Author Ken Black equips students with the quantitative decision-making skills and analysis techniques needed to make smart decisions based on real-world data.

The next generation of WileyPLUS for Business Statistics gives instructors the freedom and flexibility to tailor content and easily manage their course to keep students engaged and on track.

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Hear from our Authors

Engaging videos help increase comprehension.

Lecture Videos and Applied Skills Videos—about 40 in total—feature author Ken Black as he introduces key concepts to students in a way they can understand.

Career readiness resources prepare students for future professions.

WileyPLUS users can access great career resources like CareerShift, a leading job search tool.

    What’s New

  • Ethical Considerations: This feature in each course section integrates the topic of ethics with applications of business statistics.
  • Tree Taxonomy Diagrams:These diagrams illustrate the connection between topics and techniques and the ability to see the big picture of inferential statistics.
  • Section Reorganization Options: This feature allows for both one- and two-semester coverage.
  • Decision Dilemmas: Each course section is introduced with a real-world business vignette that presents a dilemma and related managerial or statistical questions. Solutions to these questions require the use of techniques presented in the section. A Decision Dilemma Solved feature concludes each section, giving students the opportunity to answer and discuss each question presented at the beginning of the section.
  • Thinking Critically About Statistics in Business Today Exercises: Each course section features one or several of these exercises that give real-life examples of how the statistics presented in the section apply in the business world today.
  • Nine Databases: Databases provide additional opportunities for students to apply the statistics presented in this course.
  • 965 Practice Problems: A treasury of practice problems are available in this course.
  • Video Tutorials: Videos presented by the author, Ken Black, help to illustrate the concepts reviewed.

Ken Black is professor of decision sciences in the School of Business at the University of Houston-Clear Lake (UHCL). Born in Cambridge, Massachusetts, and raised in Missouri, he earned a bachelor’s degree in mathematics from Graceland University, a master’s degree in math education from the University of Texas at El Paso, and a Ph.D. in business administration (management science) and a Ph.D. in educational research from the University of North Texas. Since joining the faculty of UHCL in 1979, Black has taught all levels of statistics courses, forecasting, management science, market research, and production/operations management. In 2005, he was awarded the President’s Distinguished Teaching Award for the university. He has published over 20 journal articles and 20 professional papers, as well as two textbooks: Business Statistics: An Introductory Course and Business Statistics: For Contemporary Decision Making. Black has consulted for many different companies, including Aetna, the city of Houston, NYLCare, AT&T, Johnson Space Center, and Southwest Information Resources.

  1. Introduction to Statistics
  2. Charts and Graphs
  3. Descriptive Statistics
  4. Probability
  5. Discrete Distributions
  6. Continuous Distributions
  7. Sampling and Sampling Distributions
  8. Statistical Inference: Estimation for Single Populations
  9. Statistical Inference: Hypothesis Testing for Single Populations
  10. Statistical Inferences About Two Populations
  11. Analysis of Variance and Design of Experiments
  12. Simple Regression Analysis and Correlation
  13. Multiple Regression Analysis
  14. Building Multiple Regression Models
  15. Time-Series Forecasting and Index Numbers
  16. Analysis of Categorical Data
  17. Nonparametric Statistics
  18. Statistical Quality Control
  19. Decision Analysis

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