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• Classification Trees (Partition)

  Use to build a partition-based model (Decision Tree) that identifies the most important factors that predict a categorical outcome (classify) and use the resulting tree to make predictions for new observations.
  Classification Trees From an open JMP^® table, select Analyze > Predictive Modeling > Partition.Select a nominal or ordinal response variable from Select Columns and click Y, Response.Selec...

  gail_massari

  Learning Library |

  Nov 3, 2025 9:33 AM

  201 views | 0 replies

• Mapping in Graph Builder

  Use the Graph Builder to create interactive maps of U.S. states, U.S. counties, and worldwide countries and provinces. JMP® ships with these shape files. Other shape files (e.g., ESRI) can be used or you create your own custom maps. Basic Mapping From an open JMP data table, select Graph > Graph Builder.Drag a shape variable from the Variables list (for example, State) to main drop zone.Drag vari...

  gail_massari

  Learning Library |

  Aug 25, 2025 7:09 AM

  249 views | 0 replies

• Summarizing Data Using Tabulate

  The Tabulate platform provides a tool to interactively construct tables of descriptive statistics.    Drag and Drop to Summarize Data From an open JMP^® data table select Analyze > Tabulate.Drag and drop variables from the column list to the drop zone for rows and columns.  Country (below, left) is in the rows drop zone – the number of observations per country is displayed.Horsepower (middle) is i...

  gail_massari

  Learning Library |

  Aug 25, 2025 7:04 AM

  262 views | 0 replies

• Bubble Plot

  Use a Bubble Plot to explore the relationship between two continuous variables and how the values change over time. Bubble color and size can be used to incorporate additional variables.  Bubble Plot From an open JMP® data table select Graph > Bubble Plot.Drag a continuous variable into the Y and X roles.Place one or more variables into the ID role so that labels can be added to the bubbles (opti...

  gail_massari

  Learning Library |

  Aug 25, 2025 6:59 AM

  271 views | 0 replies

• Box Plots

  Use to display the distribution of continuous variables. Boxplots are based upon a set of summary statistics that describe the center and spread of data. Boxplots are a very useful way for comparing data bewteen groups. Box Plots – One Variable From an open JMP^® data table, select Analyze > Distribution.Click on one or more continuous variables from Select Columns, and Click Y, Columns (continuou...

  gail_massari

  Learning Library |

  Aug 25, 2025 6:40 AM

  387 views | 0 replies

• Scatterplots

  Use to display the relationship between two continuous variables. Multiple scatterplots can be displayed together in a matrix plot. Scatterplots – Two Variables From an open JMP^® data table, select Analyze > Fit Y by X.Click on a continuous response (or dependent) variable in Select Columns, and Click Y, Columns.Click on a continuous predictor (or independent) variable, and click X, Factor. Click...

  gail_massari

  Learning Library |

  Aug 25, 2025 6:39 AM

  176 views | 0 replies

• Monte Carlo Simulation

  The JMP Profiler, with the Monte Carlo Simulator, can be used to optimize process performance in the presence of random variation. This enables you to estimate response distributions as a function of real-world random variation. Monte Carlo simulation is available from JMP Prediction Profilers using the Simulate red triangle option. Example Setup                                                   ...

  gail_massari

  Learning Library |

  Aug 22, 2025 1:01 PM

  232 views | 0 replies

• Evaluate and Compare Designs

  Use the Evaluate Design platform to assess the properties of an experimental design. To compare alternative designs, use the platform Compare Designs. Evaluate Design Most DOE platforms in JMP provide an Evaluate Design outline to assess a design before making the design table to run the experiment. The platform Evaluate Design shows the same diagnostics for any existing design, and can also be u...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:57 PM

  233 views | 0 replies

• DOE - Custom Designs

  This guide provides instructions on designing optimal experiments using the flexible Custom Design platform. The Custom Designer can be used for almost any experimental situation, including factor screening, optimization, and mixture problems, and can accommodate designs with hard-to-change factors and other constraints. DOE: Generating A Custom Design Select DOE > Custom Design.Under Responses, ...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:50 PM

  304 views | 0 replies

• DOE Screening Experiment Analysis

  This guide provides instructions on analyzing screening experiments (e.g., fractional factorial) using the Fit Two Level Screening platform. Though the Fit Model platform can also be used, the Fit Two Level Screening platform produces graphs and analysis results designed for identifying the important effects in a fully saturated experiment. This example is a 20 run 2^5 screening experiment generat...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:48 PM

  268 views | 0 replies

• DOE Fractional Factorial Analysis

  This guide provides instructions on analyzing fractional factorial experiments (experiments where not every possible treatment combination in a full factorial design is run) using the Fit Model platform.
  Specify the Model and Analyze Experiments designed in JMP^® will have a Model script saved to the data table. The model specification window will be populated with this model. To generate the model...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:43 PM

  166 views | 0 replies

• DOE Fractional Factorial Design

  This guide provides instructions on designing a fractional factorial experiment using the Screening Design platform. Fractional factorial experiments are used when it's more efficient to not perform an experimental run for every possible treatment combination as is done in a full factorial design.   Create the Design (Screening Design) Open the platform under DOE > Classical > Two Level Screening...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:37 PM

  259 views | 0 replies

• DOE Full Factorial Analysis

  This guide provides information on analyzing a full factorial experiment (experiments where every possible treatment combination is run). For instructions on designing of full factorial experiments, see the DOE Full Factorial Design guide. Specify the Model and Analyze From an open JMP^® table (for a completed full factorial experiment) select Analyze > Fit Model.
  Note: The Fit Model platform can a...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:31 PM

  219 views | 0 replies

• DOE Full Factorial Design

  This guide provides instructions on designing a full factorial experiment. A full factorial experiment in where every possible treatment combination will be studied. For analysis of full factorial experiments, see the DOE Full Factorial Analysis guide. Create the Design (Full Factorial Design) Open the platform under DOE > Classical > Full Factorial Design.Specify the Response(s): Double-click on...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:27 PM

  212 views | 0 replies

• Accelerated Life Testing (Fit Life by X)

  Use to model the relationship a factor has on the time-to-event. It is often used to model a factor that accelerates the event as a means to predict the time-to-event for normal operating conditions where failures do not frequently occur. This platform is able to analyze data that is censored (incomplete).  Accelerated Testing (Fit Life by X) From an open JMP^® data table, select Analyze > Reliabi...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:21 PM

  232 views | 0 replies

• Survival Analysis (Kaplan-Meier Estimation)

  Use to estimate survival (or failure) rates. Kaplan-Meier estimation methods (also known as  product limit estimation) is a non-parametric method and thus does not require many assumptions typically required in parametric methods (e.g., not needing to assume a specific probabiliy distribution to model the data). The method can be used with censored (incomplete) data. Note: Though frequently used ...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:16 PM

  197 views | 0 replies

• Distribution Fitting (Life Distribution)

  Use to model a single continuous variable with a probability distribution and estimate a variety of parameters (e.g., mean, percentiles, probabilities). This platform is designed to fit and compare many different distributions and can analyze data that is censored (incomplete). Note: Though frequently used to analyze time-to-event data, the analysis methods can be used to model any continous varia...

  gail_massari

  Learning Library |

  Aug 22, 2025 12:16 PM

  197 views | 0 replies

• MSA Attribute Data

  Use to evaluate the performance of a categorical based measurement system (e.g.,  pass or fail, classification of parts into multiple categories, ordinal ratings). This analysis is often used to assess the ability of observers (appraisers) to correctly and consistently classify inspected items. Attribute Measurement Systems Analysis Select Analyze > Quality and Process > Variability / Attribute G...

  gail_massari

  Learning Library |

  Aug 21, 2025 2:20 PM

  194 views | 0 replies

• MSA Continuous Data – EMP Method

  This guide provides instructions on performing a measurement system analysis (MSA) using the EMP (Evaluating the Measurement Process) method. This analysis is designed to evaluate and certify the performance of a measurement system that produces continuous data. Measurement Systems Analysis: EMP Method Select Analyze > Quality and Process > Measurement System Analysis.Click on a continuous variab...

  gail_massari

  Learning Library |

  Aug 21, 2025 2:07 PM

  253 views | 0 replies

• MSA Continuous Data – Gauge R&R

  This guide provides instructions on creating a variability chart and performing a gauge R&R (Repeatability and Reproducibility) measurement system analysis (MSA). This analysis is designed to evaluate and certify the performance of a measurement system that produces continuous data. For information on using the EMP (Evaluating the Measurement Process) method, see the MSA Continuous Data – EMP Meth...

  gail_massari

  Learning Library |

  Aug 21, 2025 2:03 PM

  434 views | 0 replies

• Capability Analysis for Multiple Responses

  This guide provides instructions on performing a process capability analysis for multiple continuous process variables simultaneously. This platform produces a set of reports and graphs that are designed to compare the performance of the different process variables to each other.    The Capability Analysis Dialog                                                                               From a...

  gail_massari

  Learning Library |

  Aug 21, 2025 1:57 PM

  188 views | 0 replies

• Process Capability Analysis

  This guide provides instructions on performing a capability analysis using the Distribution and Control Chart platforms. A process capability analysis is used to evaluate the performance of a process for a continuous variable to specifications (Lower and/or upper specification limit, and/or target). See Capability Analysis for Multiple Responses guide for performing process capability analyses on ...

  gail_massari

  Learning Library |

  Aug 21, 2025 1:54 PM

  337 views | 0 replies

• Tolerance Interval

  Use to produce an interval estimated to contain a specified proportion of a population. Tolerance Interval for Proportion (Normal Distribution) From an open JMP data table, select Analyze > Distribution.Select one or more continuous variables from Select Columns, click Y, Columns (continuous variables have blue triangles), and click OK.From the Distributions report window, select Tolerance Interv...

  gail_massari

  Learning Library |

  Aug 21, 2025 1:49 PM

  211 views | 0 replies

• Attribute Control Charts – C and U Charts

  This guide provides instructions on creating C and U attribute control charts. C charts are often used to plot the number of nonconformities (or defects) in a subgroup that usually, but not necessarily, consists of one inspection unit, while U charts are often used to plot the number of nonconformities per unit, where the number of units per subgroup can vary.     C Charts From an open JMP^® data ...

  gail_massari

  Learning Library |

  Aug 21, 2025 1:39 PM

  186 views | 0 replies

• Variables Control Charts – XBar & R/S Charts

  This guide provides instructions for creating XBar & R or XBar & S control charts using the Control Chart Builder and the Control Chart platform. XBar & R or XBar & S control charts are used to monitor a continuous variable where the data is sampled with subgroups.    XBar & R Charts – Control Chart Builder From an open JMP^® data table, select Analyze > Quality and Process > Control Chart Builder....

  gail_massari

  Learning Library |

  Aug 21, 2025 12:23 PM

  97 views | 0 replies