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JMP Learning Library

Using JMP

•  Opening JMP and Getting Started
•  Navigating JMP in Windows
•  Importing Text Files
•  Importing Data from Excel
•  JMP Data Tables
•  JMP Tables Menu

•  JMP Tools
•  Creating Formulas in JMP
•  Saving JMP Results
•  Saving Publication Quality Graphics with JMP
•  Sharing Results on JMP Public
•  Excel Add In I (Passing Data to JMP)

•  Excel Add In II (Profiling Excel Models in JMP)
•  JMP Teaching Tools
•  Customing JMP (Preferences)
•  Customizing JMP (Presets)
•  Integrating JMP and Python

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Graphical Displays and Summaries

•  Interactive Graphing with Graph Builder
•  Histograms, Descriptive Stats and Stem and Leaf
•  Bar Charts and Frequency Distributions
•  Dot Plots

•  Box Plots
•  Scatter Plots
•  Run Charts (Line Graphs)
•  Mosaic Plot and Contingency Table (Cross-tabs)

•  Pareto Plots and Pie Charts
•  Bubble Plots
•  Mapping in Graph Builder
•  Tabulating Data

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Probabilities and Distributions

•  Fitting Distributions
•  Assessing Normality

•  Finding Standardized Values (z-Scores)
•  Finding the Area Under a Normal Curve

•  Random Sampling and Random Data

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Basic Inference - Proportions and Means

•  One Sample t-Test and Confidence Interval
•  Two Sample t-Test and Confidence Interval
•  Paired t-Test and Confidence Interval
•  One Way ANOVA
•  Two-Way (Factorial) ANOVA
•  One Sample Equivalence Test for Mean

•  Hypothesis Test and Confidence Interval for Proportions
•  Two Proportions Test and Confidence Interval
•  Chi-Square Test for a Two-Way Table
•  Nonparametric Tests
•  Prediction Interval
•  Sample Size and Power for One Sample Mean

•  Sample Size and Power for Two Sample Means
•  Sample Size and Power for One Sample Proportion
•  Sample Size and Power for Two Sample Proportions
•  Bootstrapping
•  Randomization Testing

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Correlation and Regression

•  Correlation
•  Nonparametric Correlations
•  Simple Linear Regression

•  Multiple Linear Regression
•  Simple Logistic Regression
•  Multiple Logistic Regression

•  Stepwise Regression
•  Fitting Nonlinear Curves

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Time Series

•  ARIMA Modeling

•  Time Series Smoothing Models

•  Time Series Forecasting

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Multivariate Methods

•  Survey Analysis (Cross Tabulation)
•  Clustering

•  Principal Components Analysis
•  Factor Analysis

•  Structural Equation Modeling

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Mixed Models and Repeated Measures

•  Repeated Measures Analysis (MANOVA)

•  Repeated Measures Analysis (Mixed Model)

•  Mixed Model Analysis

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Data Mining and Predictive Modeling

•  Classification Trees (Partition)
•  Regression Trees (Partition)
•  Discriminant Analysis
•  Support Vector Machines (Classification)
•  Support Vector Regression

•  K Nearest Neighbors
•  Neural Networks
•  Naive Bayes
•  Creating a Validation Column (Holdout Sample)
•  Model Comparison and Selection

•  Text Mining - Describing Unstructured Text Data
•  Text Mining - Sentiment Analysis
•  Text Mining - Advanced Analysis Methods
•  Association Analysis (Market Basket Analysis)

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Quality and Process

•  Variables Control Charts - I/MR Charts
•  Variables Control Charts - XBar Charts
•  Attribute Control Charts - P and NP Charts
•  Attribute Control Charts - C and U Charts

•  Process Capability Analysis
•  Capability Analysis for Multiple Responses
•  MSA Continuous Data - Gauge R&R
•  MSA Continuous Data - EMP Method

•  MSA Attribute Data
•  Tolerance Interval

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Reliability and Survival

•  Survival Analysis (Kaplan-Meier Estimation)

•  Distribution Fitting (Life Distribution)

•  Accelerated Life Testing (Fit Life by X)

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Design and Analysis of Experiments

•  DOE Full Factorial Design
•  DOE Full Factorial Analysis
•  DOE Fractional Factorial Design

•  DOE Fractional Factorial Analysis
•  DOE Screening Experiment Analysis
•  DOE - Custom Designs

•  DOE - Evaluate and Compare Designs
•  Monte Carlo Simulation