JMP 아카데믹 및 도서

Improving Health Care Quality: Case Studies with JMP by Mary Ann Shifflet, Cecilia Martinez, Jane Oppenlander, and Shirley Shmerling2020 (Wiley)

Textbook Add-Ins

These add-ins provide journals containing all of the data sets used in each textbook, along with links to other useful tools and resources for learning and using JMP.

Add-ins are grouped by subject. Information on using and modifying add-ins can be found at the bottom of this page.

Introductory Statistics

JMP for Teaching Elementary Statistics - Olsen
Statistics, Learning from Data - Peck
Practical Data Analysis with JMP - Carver
Elementary Statistics - Triola
Intro Stats - DeVeaux, Velleman and Bock
Statistics with JMP: Graphs, Descriptive Statistics and Probability - Goos and Meintrup
Statistics with JMP: Hypothesis Tests, ANOVA and Regression - Goos and Meintrup

Business Statistics

Statistical Analysis for Business using JMP - Terpening
Business Statistics - Levine, Krehbiel and Berenson
Statistics for Business - Stine and Foster
Basic Business Statistics - Berenson, Levine and Szabat

Engineering Statistics and DOE

Applied Statistics and Probability for Engineers - Montgomery and Runger
Engineering Statistics - Montgomery, Runger, and Hubele
Introduction to Statistical Quality Control - Montgomery
Design and Analysis of Experiments with SAS - Lawson
Design and Analysis of Experiments - Montgomery

Intermediate/Advanced Topics

JMP for Basic Univariate and Multivariate Statistics - Lehman, O'Rourke, and Stepanski
Introduction to Linear Regression Analysis - Montgomery, Peck, and Vining
Applied Reliability - Tobias and Trindade
Fundamentals of Predictive Analytics with JMP - Klimberg and McCullough
Introduction to Time Series Analysis and Forecasting - Montgomery, Jennings and Kulahci

Add-in notes: To install the add-in, open the file in JMP and tell JMP to install it. In the Add-ins menu (which will be new if you don't have any other add-ins installed), there will be menu item that will open the journal. The add-in installs the journal, along with supporting data sets and scripts, locally on your machine. Everything is accessible via the journal. There are many teaching and learning tools under the JMP Scripts and Tools outline.

There are two important notes in the read me section:

Check the modeling types to make sure they are correct (Nominal, Ordinal, or Continuous).
In some cases you may need to stack data to perform the correct analysis (for example, two-sample t-tests and ANOVA require the data to be stacked).

When you close the journal, or any associated data set, we recommend that you do not save changes unless you've intentionally changed something (like a data type).

Information on how to create textbook add-ins can be found in the blog Building add-ins for classes and textbooks and information on how to update your add-in can be found on the JMP Academic Community.