New book to spark enthusiasm for descriptive statistics and probability in the classroom
Aug 28, 2015 7:00 AM
Whether you teach introductory statistics courses in engineering, economics or natural sciences, or master courses on applied statistics or probability theory, you’ll want to consider using a new book: “Statistics with JMP: Graphs, Descriptive Statistics and Probability” by Peter Goos and David Meintrup. Unlike other comparable books, it covers all levels of mathematical depth, statistical concepts and real-life applications. What sets the book apart is that it clearly shows mathematical derivations and presents a step-by-step guide to making calculations and graphs.
The origin of the book is a series of lectures on descriptive statistics and probability presented in Dutch by Peter Goos at the faculty of Applied Economics of the University of Antwerp in Belgium.
Goos (who is also with the University of Leuven in Belgium) migrated the course demos, exercises and exam from Excel to JMP and teamed up with David Meintrup from University of Applied Sciences, Ingolstadt/Germany, to thoroughly revise, extend and translate the content into English. Goos and Meintrup are both passionate educators and longtime JMP users, so they were a dream team to work on this book.
The pair’s motivation to write this book was twofold: As expressed in their preface, they did not want to "sweep technicalities and mathematical derivations under the carpet.” For the sake of deepening the students’ understanding of statistical concepts, they showed all mathematical derivations in detail throughout the book.
Their second impetus was to “ensure that the concepts introduced in the book can be successfully put into practice.” Step-by-step instructions and numerous screenshots show how to generate graphs, calculate descriptive statistics and compute probabilities in JMP 12. They chose JMP “because it is powerful, yet easy to use.”
To illustrate the methods and to emphasize their usefulness, the book contains many examples involving real-life data from various application fields, including business, economics, sports, engineering and natural sciences. All data sets are available with stored scripts to easily reproduce figures, tables and analyses. The data files are wrapped by a JMP Journal and packaged as a JMP add-in (except two larger data sets that are available separately), making them ready to use in the classroom. This add-in is available as a resource from the JMP Academic Community, or with additional supporting material from the Wiley book companion website.
With the purchase of this book, you receive a 12-month license for JMP Student Edition. The software is directly available for download and can be activated using the code found in each hard copy; an electronic copy is also available upon request.
But wait, there’s more! A companion book, “Statistics with JMP: Hypothesis Tests, ANOVA and Regression,” which follows the same approach, is planned for early 2016.
Book details: 978-1-119-03570-1, Hard cover, 368 pages, April 2015. Also available as an e-book on Amazon, Apple iBooks and Google Play. Visit the Wiley book page for a book index, a sample chapter or an evaluation copy.