choose to omit covering Chapter 10. In Chapter 11 we introduce the concept of simulation models for understanding the effect of uncertainty on decisions. Chapter 12 is an overview of decision analysis approaches for incorporating a decision maker’s views about risk into decision making. In Appendix A we present optional material for students who need to learn the basics of using Microsoft Excel. The use of databases and manipulating data in Microsoft Access is discussed in Appendix B. This textbook can be used by students who have previously taken a course on basic statistical methods as well as students who have not had a prior course in statistics. This textbook introduces basic statistical concepts in enough detail to support their use in busi- ness analytics tools. For the student who has not had a prior statistics course, these concepts are sufficient to prepare the student for more advanced business analytics methods. For students who have had a previous statistics class, the material will provide a good review. All statistical concepts contained in this textbook are presented from a business analytics perspective using practical business examples. For those instructors who wish to skip the introductory statistics material, Chapters 2 and 4 can be considered optional.
Pochiraju, B., & Seshadri, S. (2019). Essentials of Business Analytics: An Introduction to the Methodology and its Applications. (B. Pochiraju & S. Seshadri, Eds.), Climate Change 2013 - The Physical Science Basis (Vol. 264, pp. 1–30). Springer International Publishing. Retrieved from http://link.springer.com/10.1007/978-3-319-68837-4