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  • Factor Analysis

    Factor Analysis is an analysis technique that seeks to describe the variation in a set of observed variables in terms of a smaller number of unobserved latent variables or factors.  Factor Analysis From an open JMP® data table, select Analyze > Multivariate Methods > Factor Analysis.Select continuous variables from Select Columns, and Click Y, Columns (continuous variables have blue triangles).Cl...

    gail_massari gail_massari
    Learning Library |
    Aug 8, 2025 7:02 AM
    73 views | 0 replies

  • Survey Analysis (Cross Tabulation)

    Categorial platform provides myriad tools to tabulate and analyze multivariable categorical data, such as that which would come from surveys. Commonly referred to as cross-tabulation, these analysis methods can be used to compare responses across multiple factors and uncover relationships between categories.  Categorical Note: The results displayed in the analysis demonstrated will be easier to i...

    gail_massari gail_massari
    Learning Library |
    Aug 7, 2025 10:37 AM
    83 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 gail_massari
    Learning Library |
    Aug 7, 2025 8:34 AM
    72 views | 0 replies

  • Time Series Forecasting

    The Time Series Forecast platform builds a variety of different exponential smoothing models and automatically selects the with the best forecast performance. The platform is designed to forecast multiple time series. Time Series Forecast From an open JMP® data table, select Analyze > Specialized Modeling > Time Series Forecast.

    Select a continuous variable from Select Columns, and click Y (contin...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 2:43 PM
    49 views | 0 replies

  • Time Series Smoothing Models

    Use smoothing based time series models to describe patterns and forecast future time periods.  Smoothing Models From an open JMP® data table, select Analyze > Specialized Modeling > Time Series.Select a continuous variable from Select Columns, and click Y, Time Series (continuous variables have blue triangles). Select a time and click X, Time ID (optional). Click OK.  
    - A time series graph of the...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 2:31 PM
    56 views | 0 replies

  • ARIMA Modeling

    Use ARIMA (Auto Regressive Integrated Moving Average) time series models to examine autocorrelation, describe patterns (trends and seasonality), and forecast future time periods.  ARIMA Modeling From an open JMP® data table, select Analyze > Specialized Modeling > Time Series.Select a continuous variable from Select Columns, and click Y, Time Series (continuous variables have blue triangles). Sel...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 2:26 PM
    53 views | 0 replies

  • Fit Non-Linear Curve

    Use to build non-linear models describing the relationship between an explanatory variable and an outcome variable.  Fit Curve Select Analyze > Specialized Modeling > Fit Curve.Select a continuous variable from Select Columns, and add to Y, Response.Select a continuous explanatory variable for X, Regressor Add a categorical variable to Group to have a separate model fit for each value of a gr...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 2:19 PM
    62 views | 0 replies

  • Stepwise Regression

    Use to perform automated variable selection in multiple linear or logistic regression models. The method is particular useful when there is a large number of candidate explanatory variables. Stepwise Regression From an open table, select Analyze > Fit Model.Select a response variable from Select Columns and click Y.Select predictor variables and click Add.If desired, select a validation column (J...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 12:52 PM
    66 views | 0 replies

  • Multiple Linear Regression

    Use to model the relationship two or more continuous or categorical explanatory explanatory variables has with a continuous outcome variable. Useful to describe the relationships between the variables and to predict an outcome for different values of the explanatory variables.   Multiple Linear Regression Using Fit Model From an open JMP® data table, select Analyze > Fit Model.Click on a continuo...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 12:37 PM
    62 views | 0 replies

  • Simple Linear Regression

    Use to model the bivariate relationship between a continuous explanatory variable with a continuous outcome variable. Useful to describe the relationship between the variables and to predict an outcome for different values of the explanatory variable. Simple Linear Regression Using Fit Y by X From an open JMP® data table, select Analyze > Fit Y by X.Click on a continuous variable from Select Colu...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 12:29 PM
    73 views | 0 replies

  • Nonparametric Correlations

    This guide illustrates how to compute nonparametric measures of association (Spearman’s Rho, Kendall’s Tau, and Hoeffding’s D). Nonparametric Correlations                                                                  From an open JMP data table, select Analyze > Multivariate Methods > Multivariate.Select two or more continuous or discrete numeric (nominal or ordinal) from Select Columns, click...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 9:17 AM
    76 views | 0 replies

  • Correlation

    This guide illustrates ways to visualize the relationship between two continuous variables and quantify the linear association via. pearson's correlation coefficient. For information on nonparametric correlations, see the Nonparametric Correlations guide. Correlation Between Two Variables From an open JMP® data table, select Analyze > Fit Y by X.Click on a continuous variable from Select Columns,...

    gail_massari gail_massari
    Learning Library |
    Aug 6, 2025 8:44 AM
    79 views | 0 replies

  • One Sample Equivalence Test for Mean

    Use to determine if there is statistical evidence exists to demonstrate that a population mean is within a specified range (i.e., “equivalent”) to a hypothesized value.     Equivalence Test for the Mean 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.Fr...

    gail_massari gail_massari
    Learning Library |
    Aug 1, 2025 1:43 PM
    62 views | 0 replies

  • Prediction Interval

    Use to produce an interval estimate of a single observation, a sample of n observations, or the sample mean and standard deviation of a sample of n observations. Prediction Interval for an Individual Observation 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 cl...

    gail_massari gail_massari
    Learning Library |
    Aug 1, 2025 1:33 PM
    44 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 gail_massari
    Learning Library |
    Aug 1, 2025 1:24 PM
    48 views | 0 replies

  • Bootstrapping

    This guide provides instructions on the bootstrapping technique – a resampling method for estimating the  sampling distribution of a statistic as a means to generate a confidence interval. Bootstrapping is available from many JMP reports.   Bootstrapping in JMP Report Windows From an analysis platform report window, right-click on the report of interest and select Bootstrap. In this example we us...

    gail_massari gail_massari
    Learning Library |
    Aug 1, 2025 1:16 PM
    35 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. Sample Size and Power - Two Sample Means Select DOE > Sample Size Explorers and choose Power > Power for Two Inde...

    gail_massari gail_massari
    Learning Library |
    Aug 1, 2025 1:07 PM
    56 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 gail_massari
    Learning Library |
    Aug 1, 2025 12:54 PM
    45 views | 0 replies

  • Nonparametric Tests

    This guide illustrates how to perform a variety of nonparametric tests. For information on nonparametric correlations and measures of association, see the page Nonparametric Correlations.  One-Sample Nonparametric Tests From an open JMP data table, select Analyze > Distribution.Select one or more continuous variables from Select Columns, click Y, Columns, and click OK. The variable ‘Horsepower’ w...

    gail_massari gail_massari
    Learning Library |
    Aug 1, 2025 12:47 PM
    63 views | 0 replies

  • Two-Way (Factorial) ANOVA

    Use to test and estimate the effect that two categorical factors and their interaction have on the population mean. [video]  From an open JMP® data table, select Analyze > Fit Model.Click on a continuous variable from Select Columns, and click Y, Response (continuous variables have blue triangles).Click on two categorical variables from Select Columns, and click Macros, Full Factorial (categorical...

    gail_massari gail_massari
    Learning Library |
    Jul 31, 2025 3:15 PM
    84 views | 0 replies

  • One-Way ANOVA

     Use to test for a statistical differences in comparing three or more population means. One-Way Analysis of Variance From an open JMP® data table, select Analyze > Fit Y by X.Click on a continuous variable from Select Columns, and Click Y, Response (continuous variables have blue triangles).Click on a categorical variable and click X, Factor (categorical variables have red or green bars). Click O...

    gail_massari gail_massari
    Learning Library |
    Jul 31, 2025 3:06 PM
    99 views | 0 replies

  • Paired t-Test and CI

    Use to test if the populations means of two paired (dependent or correlated) samples are statistically different. Note: The paired measurements must be stored in separate columns. Paired t-Test Using Matched Pairs From an open JMP® data table, select Analyze > Specialized Modeling > Matched Pairs.Select two continuous variables from Select Columns, click Y, Paired Responses (continuous variables ...

    gail_massari gail_massari
    Learning Library |
    Jul 31, 2025 2:58 PM
    71 views | 0 replies

  • Two Sample t-Test and Confidence Intervals

    Use to Estimate via a confidence interval and perform a hypothesis test for the difference between two population means. If more than two means (more than two levels of the categorical X variable), refer to the One-Way ANOVA guide. Comparison of Two Population Means                       From an open JMP® data table, select Analyze > Fit Y by X.Click on a continuous variable from Select Columns, ...

    gail_massari gail_massari
    Learning Library |
    Jul 31, 2025 2:52 PM
    133 views | 0 replies

  • One Sample t-Test and Confidence Interval

    Use to estimate via a confidence interval or perform a hypothesis test for a population mean. Confidence Interval for the Mean 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.  Car Physical Data.jmp (Help > Sample Data Folder)                 The Upper...

    gail_massari gail_massari
    Learning Library |
    Jul 31, 2025 2:45 PM
    52 views | 0 replies

  • Sample Size and Power for Two Sample Proportions

    Use to interactively explore the relationships between Power, Sample Sizes, and Alternative Proportions in testing a hypothesis comparing two independent population proportions. See the Two Proportions Test and Confidence Interval guide to learn how to perform a statistical test comparing two population proportions. Sample Size and Power - Two Sample Proportion Select DOE > Sample Size Explorers ...

    gail_massari gail_massari
    Learning Library |
    Jul 31, 2025 2:39 PM
    56 views | 0 replies

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