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• 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 Resources |

  Feb 11, 2026 12:11 PM

  1112 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 Resources |

  Feb 11, 2026 12:10 PM

  1185 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 Resources |

  Feb 11, 2026 12:09 PM

  821 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 Resources |

  Feb 11, 2026 12:08 PM

  1036 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). [video]  Accelerated Testing (Fit Life by X) From an open JMP^® data table, select Analyze > ...

  gail_massari

  Learning Resources |

  Feb 11, 2026 12:07 PM

  927 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 Resources |

  Feb 11, 2026 12:06 PM

  1176 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. [video] Specify the Model and Analyze From an open JMP^® table (for a completed full factorial experiment) select Analyze > Fit Model.
  Note: The Fit Model platfor...

  gail_massari

  Learning Resources |

  Feb 11, 2026 12:05 PM

  924 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 Resources |

  Feb 11, 2026 12:04 PM

  1153 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 Resources |

  Feb 11, 2026 12:03 PM

  750 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 Resources |

  Feb 11, 2026 12:01 PM

  1389 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 Resources |

  Feb 11, 2026 12:01 PM

  2196 views | 0 replies

• Navigating the JMP interface in Microsoft Windows

  This guide provides information on the Windows JMP interface. For information on creating a new data table, opening data tables, and finding help within JMP see  Opening JMP and Getting Started.   The Home Window When you first open JMP, you’ll see the Tip of the Day window.You’ll also see the JMP Home Window, which includes: Menus and toolbars (top).Recently used files (on the left).All open dat...

  gail_massari

  Learning Resources |

  Feb 11, 2026 11:59 AM

  876 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. [video] 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 al...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:42 PM

  1102 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 Resources |

  Feb 10, 2026 1:41 PM

  1268 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.  [video] 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 bubble...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:39 PM

  768 views | 0 replies

• Summarizing Data Using Tabulate

  The Tabulate platform provides a tool to interactively construct tables of descriptive statistics.    [video] 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 (middl...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:38 PM

  1279 views | 0 replies

• 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 Resources |

  Feb 10, 2026 1:38 PM

  1231 views | 0 replies

• Sample Size and Power for Two Sample Means

  Use to interactively explore the relationships between Power, Sample Sizes, and Differences to Detect for testing a hypothesis comparing two population means. See the Two Sample t-test and Confidence Interval guide to learn how to perform a statistical test comparing two sample means. [video] Sample Size and Power - Two Sample Means Select DOE > Sample Size Explorers and choose Power > Power for T...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:36 PM

  890 views | 0 replies

• Sample Size and Power for One Sample Mean

  Use to interactively explore the relationships between Power, Sample Size, and Difference to Detect in testing a hypothesis for a single population mean. See the One Sample t-test and Confidence Interval guide to learn how to perform a statistical test for a population mean. Sample Size and Power - One Sample Mean Select DOE > Sample Size Explorers and choose Power > Power for One Sample Mean. Ch...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:35 PM

  586 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 Resources |

  Feb 10, 2026 1:34 PM

  4013 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 Resources |

  Feb 10, 2026 1:33 PM

  697 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. [video] 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.Dr...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:33 PM

  1274 views | 0 replies

• Histograms, Descriptive Statistics, and Stem and Leaf

  Use histograms, descrpitive statistics, and stem and leaf plots to summarize and display the distribution of continuous variables. Histograms and stem and leaf plots allow you to assess the shape, centering and spread of the data. [video]   Histogram Tips: • To change the display from vertical to horizontal (as shown), click on the red triangle next to the variable name and select Display Options...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:31 PM

  605 views | 0 replies

• Mosaic Plot and Contingency Table (Cross-tabs)

  Use to examine the relationship between two categorical variables. A contingency table displays the frequency and percentages of the distribution of the data in a matrix format, while a mosaic plot graphically displays the information.  The mosaic plot is a side-by-side divided bar chart that allows you to visually compare proportions of levels of one variable across the levels of a second variabl...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:30 PM

  768 views | 0 replies

• Randomization Testing

  This guide provides instructions on performing a randomization test (also known as a permutation test) – a resampling method for estimating the sampling distribution of a statistic to generate a confidence interval and a p-value for a hypothesis test. Randomization Testing is available from many JMP reports.   Randomization Testing Here, we describe how to conduct a randomization test for two mea...

  gail_massari

  Learning Resources |

  Feb 10, 2026 1:29 PM

  542 views | 0 replies