"Carver's Practical Data Analysis with JMP is valuable both for new students and for experienced users of statistics who are learning JMP. This step-by-step guide leads users into the richness of the software, without going into all its complexities. Its hands-on development also incorporates numerous sound observations about the practice of statistics, striking a balance between the needs of students new to the subject and the needs of mature practitioners. The numerous apt illustrations are a distinct asset."

"With step-by-step descriptions and screenshots, Carver's book is a fairly self-contained supplement that illustrates the main techniques of a traditional first course. Students will appreciate the inclusion of practical skills such as importing data into JMP or exporting results to a word-processor document. Other welcome features include the variety of real-world datasets and sections that explicitly ask 'What are we assuming?'"

"It is a comprehensive book with enough examples that…[one] could learn to use JMP very effectively as a tool for all topics covered in most introductory statistics courses."