Tutorials for SAS's JMP
Statistical Analysis Software

JMP 5 Tutorials

• Importing Text Files to JMP from the Web
• Pareto Chart
• Histogram
• Stem and Leaf
• Using Box Plots to Compare
• Generating Standard Normal Random Numbers
• Calculating Tabled Values of Common Distributions
• Normal Quantile Plot
• Summarizing Bivariate Categorical Data
• Copying JMP and Other Output to Paste into a Word Document
• Scatter Plot
• Labeled Scatter Plot
• Simple Linear Regression
• Correlation Coefficient
• Chi-Square Simulation

Tutorials for Statistics 201: Introduction to Statistics

The tutorials below are for JMP 3, but they may help you with JMP 4 and 5.

Elementary Statistics:

• Histogram
• Stem-and-leaf plot
• Bar and pie chart
• Scatter diagram
• Cross tabulation
• P Chart
• X-bar/R charts
• Simple regression
• Correlation coefficient
• Multiple regression
• Estimation of gravitational constant (using nolinear regression)
• Logarithmic regression
• Transformations of Y and X in simple regression
• Polynomial regression
• Regression with indicator variables
• One-Sample t test
• Two-Independent-Samples t test

Experimental Design:

• Box Plots: One Way Layout
• ANOVA: One Way Layout
• Calculating Confidence Intervals for
  Treatment Means (One Way Layout)
• Individual Confidence Intervals for the Differences of Two Treatment Means (One Way Layout Design)
• Residual Analysis
• Test for the Equality of Variance
• Analytic Determination of Transformations When There Are Replications
• Analytic Determination of Transformations:
  Box-Cox Method
• Calculating Contrasts' Sums of Squares
• Multiple Comparisons
• Random Effects Models for the One Way Layout
• Power Calculations:
  Fixed Effects - One Way Layout
• Power Calculations:
  Random Effects - One Way Layout
• Power Calculations: Randomized Block Design - Fixed Effects
• Missing Data in the Randomized Block Design
• Latin and Graeco-Latin Squares
• Replicating Latin Squares

Reliability Data Analysis

• Entering Data / Calculation of mean, variances, and standard deviations
• Calculation of Empirical Survivor Function
• Calculation of Q-Q Plots: Exponential, Weibull, and Lognormal
• Mixture of Populations
• Calculation of Kaplan Meier Product-Limit (PL) Estimator
• Comparing Populations
• Analyzing of Failure Data with Competing Risks
• Using JMP's Nonlinear Platform to Calculate MLEs: Exponential Case
• Using JMP's Nonlinear Platform to Calculate MLEs:
  Weibull/Gumbel Case
• Using JMP's Nonlinear Platform to Calculate MLEs:
  Lognormal / Normal Case
• Using JMP's Nonlinear Platform to Create Likelihood Contours: Weibull/Gumbel case
• Likelihood Ratio Confidence Interval for b10: Weibull Case
• Accelerated Life Model: Distribution Identification
• Accelerated Life Model: Lognormal Regression
• Accelerated Life Model: Lognormal Regression Using Nonlinear Fit JMP Platform

More Reliability Data Analysis

• Accelerated Life Model Check based on Survival Functions
• Accelerated Life Model Check Based on Quantiles
• Variance-Covariance Matrix for LogNormal Regression
• Accelerated Life Test Analysis
• Proportional Hazards Model Check
• Proportional Hazards Model Fit
• Proportional Odds Model Check
• Using Weibull Residuals
• Simple Weibull Regression Model I
• Simple Weibull Regression Model II

Accelerated Life Test Tutorials by Barry Eggleston

• Weibull Regression with Voltage and Temperature Stresses
• Using JMP's Nonlinear Fit Platform to do Weibull Regression with Voltage and Temperature Stresses
• Calculating Delta Method Confidence Intervals for Quantiles at Ambient Stress
• Analysis of Failure Data with Multiple Types of Censoring
• Likelihood Ratio Confidence Intervals for b10 using Multiple Censoring Type Data

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