The long structure consists of tuples of (ID, Pop., GDP. There are two useful structures for these data: "long" and "wide". How is that information going to get into JMP?
I notice your "database structure" does not seem to include an attribute for year. Additionally, the "Review of Topics" chapters provide an exceptional integration of the topics/techniques covered in several previous chapters.20 separate tables means 20 times as much work for everything you do: forget that! The end-of-chapter applications are an outstanding application of the concepts/techniques covered in each chapter. Practical Data Analysis with JMP, Second Edition, further provides a comprehensive guide to the corresponding statistical, graph, and data capabilities in JMP. "Rob Carver's Practical Data Analysis with JMP, Second Edition, is an excellent introductory text to the major topics covered in an introduction to statistics course. After going through this book, I have called JMP to obtain a copy that I can examine this summer in contemplation of using both JMP and this book during the next academic year." Clearly, such a book could only be written by someone who has a mastery of the material and who is also very concerned with the pedagogy of the book. This book is not only supplemental in the use of JMP, but it is also an excellent text in data analysis along with its many homework exercises.
#Jmp data analysis software
Previously, I was uncomfortable using a new software package without clear supplemental materials. Rob provides the textual material along with clear instructions for using JMP in data analysis. JMP brings statistics alive with its graphical interactive interface. His book and the use of JMP make teaching and learning statistics an exciting proposition. However, after reviewing Rob's book, I am seriously considering using his book along with JMP in these courses. Previously, I have not been using JMP in my basic statistics courses. "I have finished reviewing Rob Carver's Practical Data Analysis with JMP, Second Edition. These skills are key for me with my students, so Carver's book will be highly recommended for my own course." Not only is the book a practical guide, it is a book that challenges each reader to think critically about what they want to do with data analysis and whether that approach is appropriate. "In Chapter 1, Carver states, "The central goal of this book is to help you build your capacity as a statistical thinker through progressive experience with the techniques and approaches of data analysis, specifically by using the features of JMP." The book supports this statement throughout. Carver's related question, "What if conditions aren't satisfied?" gives up-to-date options that statisticians use in practice. Carver's question, "What are we assuming?" asks us to consider the assumptions we are making when we do data analysis and reminds us of relationships among procedures. An important aspect to Carver's approach is with respect to assumptions. The topics are well organized, and it is easy to find what you are looking for. "Carver's book can be used as a complement to any text used in a course or as a stand-alone book to learn JMP on your own. Practical Data Analysis with JMP ®, Second Edition
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