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by Lee Creighton, Mia Stephens, Ann Lehman, Ph.D., John Sall
JMP Start Statistics, 5th Edition
Preface
The Software
JMP Start Statistics, Fifth Edition
SAS
This Book
Preliminaries
What You Need to Know
…about your computer
…about statistics
Learning About JMP
…on your own with JMP Help
…hands-on examples
…using Tutorials
…reading about JMP
Chapter Organization
Typographical Conventions
JMP Right In
Hello!
First Session
Tip of the Day
The JMP Starter (Macintosh)
The JMP Home Window (Windows)
Open a JMP Data Table
Launch an Analysis Platform
Interact with the Report Surface
Special Tools
Customize JMP
Modeling Type
Analyze and Graph
Navigating Platforms and Building Context
Contexts for a Histogram
Contexts for the t-Test
Contexts for a Scatterplot
Contexts for Nonparametric Statistics
The Personality of JMP
Data Tables, Reports, and Scripts
Overview
The Ins and Outs of a JMP Data Table
Selecting and Deselecting Rows and Columns
Mousing Around a Spreadsheet: Cursor Forms
Creating a New JMP Table
Define Rows and Columns
Enter Data
The New Column Command
Plot the Data
Importing Data
Importing Text Files
Importing Other File Types
Copy, Paste, and Drag Data
Moving Data Out of JMP
Working with Graphs and Reports
Copy and Paste
Drag Report Elements
Context Menu Commands
Juggling Data Tables
Data Management
Give New Shape to a Table: Stack Columns
Creating Summary Statistics
Create Summary Statistics with the Summary Command
Create Summary Statistics with Tabulate
Working with Scripts
Formula Editor Adventures
Overview
The Formula Editor Window
The Formula Editor and the JMP Scripting Language
A Quick Example
Formula Editor: Pieces and Parts
Terminology
The Formula Editor Control Panel
The Keypad Functions
The Formula Display Area
Function Definitions
Row Function Examples
Conditional Expressions and Comparison Operators
Summarize Down Columns or Across Rows
Random Number Functions
Local Variables and Table Variables
Some Nice Examples Involving Dates
Tips on Building Formulas
Examining Expression Values
Cutting, Dragging, and Pasting Formulas
Selecting Expressions
Tips on Editing a Formula
Exercises
What Are Statistics?
Overview
Ponderings
The Business of Statistics
The Yin and Yang of Statistics
The Faces of Statistics
Don’t Panic
Preparations
Three Levels of Uncertainty
Probability and Randomness
Assumptions
Data Mining?
Statistical Terms
Simulations
Overview
Rolling Dice
Rolling Several Dice
Flipping Coins, Sampling Candy, or Drawing Marbles
Probability of Making a Triangle
Confidence Intervals
Other JMP Simulations
Exercises
Univariate Distributions: One Variable, One Sample
Overview
Looking at Distributions
Probability Distributions
True Distribution Function or Real-World Sample Distribution
The Normal Distribution
Describing Distributions of Values
Generating Random Data
Histograms
Stem-and-Leaf Plots
Outlier and Quantile Box Plots
Mean and Standard Deviation
Median and Other Quantiles
Mean versus Median
Other Summary Statistics: Skewness and Kurtosis
Extremes, Tail Detail
Statistical Inference on the Mean
Standard Error of the Mean
Confidence Intervals for the Mean
Testing Hypotheses: Terminology
The Normal z-Test for the Mean
Case Study: The Earth’s Ecliptic
Student’s t-Test
Comparing the Normal and Student’s t Distributions
Testing the Mean
The p-Value Animation
Power of the t-Test
Practical Significance vs. Statistical Significance
Examining for Normality
Normal Quantile Plots
Statistical Tests for Normality
Special Topic: Practical Difference
Special Topic: Simulating the Central Limit Theorem
Seeing Kernel Density Estimates
Exercises
The Difference Between Two Means
Overview
Two Independent Groups
When the Difference Isn’t Significant
Check the Data
Launch the Fit Y by X Platform
Examine the Plot
Display and Compare the Means
Inside the Student’s t-Test
Equal or Unequal Variances?
One-Sided Version of the Test
Analysis of Variance and the All-Purpose F-Test
How Sensitive Is the Test? How Many More Observations Are Needed?
When the Difference Is Significant
Normality and Normal Quantile Plots
Testing Means for Matched Pairs
Thermometer Tests
Look at the Data
Look at the Distribution of the Difference
Student’s t-Test
The Matched Pairs Platform for a Paired t-Test
Optional Topic: An Equivalent Test for Stacked Data
Two Extremes of Neglecting the Pairing Situation: A Dramatization
A Nonparametric Approach
Introduction to Nonparametric Methods
Paired Means: The Wilcoxon Signed-Rank Test
Independent Means: The Wilcoxon Rank Sum Test
Exercises
Comparing Many Means: One-Way Analysis of Variance
Overview
What Is a One-Way Layout?
Comparing and Testing Means
Means Diamonds: A Graphical Description of Group Means
Statistical Tests to Compare Means
Means Comparisons for Balanced Data
Means Comparisons for Unbalanced Data
Adjusting for Multiple Comparisons
Are the Variances Equal Across the Groups?
Testing Means with Unequal Variances
Nonparametric Methods
Review of Rank-Based Nonparametric Methods
The Three Rank Tests in JMP
Exercises
Fitting Curves through Points: Regression
Overview
Regression
Least Squares
Seeing Least Squares
Fitting a Line and Testing the Slope
Testing the Slope by Comparing Models
The Distribution of the Parameter Estimates
Confidence Intervals on the Estimates
Examine Residuals
Exclusion of Rows
Time to Clean Up
Polynomial Models
Look at the Residuals
Higher-Order Polynomials
Distribution of Residuals
Transformed Fits
Spline Fit
Are Graphics Important?
Why It’s Called Regression
What Happens When X and Y Are Switched?
Curiosities
Sometimes It’s the Picture That Fools You
High-Order Polynomial Pitfall
The Pappus Mystery on the Obliquity of the Ecliptic
Exercises
Categorical Distributions
Overview
Categorical Situations
Categorical Responses and Count Data: Two Outlooks
A Simulated Categorical Response
Simulating Some Categorical Response Data
Variability in the Estimates
Larger Sample Sizes
Monte Carlo Simulations for the Estimators
Distribution of the Estimates
The X2 Pearson Chi-Square Test Statistic
The G2 Likelihood-Ratio Chi-Square Test Statistic
Likelihood Ratio Tests
The G2 Likelihood Ratio Chi-Square Test
Univariate Categorical Chi-Square Tests
Comparing Univariate Distributions
Charting to Compare Results
Exercises
Categorical Models
Overview
Fitting Categorical Responses to Categorical Factors: Contingency Tables
Testing with G2 and X2
Looking at Survey Data
Car Brand by Marital Status
Car Brand by Size of Vehicle
Two-Way Tables: Entering Count Data
Expected Values Under Independence
Entering Two-Way Data into JMP
Testing for Independence
If You Have a Perfect Fit
Special Topic: Correspondence Analysis— Looking at Data with Many Levels
Continuous Factors with Categorical Responses: Logistic Regression
Fitting a Logistic Model
Degrees of Fit
A Discriminant Alternative
Inverse Prediction
Polytomous Responses: More Than Two Levels
Ordinal Responses: Cumulative Ordinal Logistic Regression
Surprise: Simpson's Paradox: Aggregate Data versus Grouped Data
Generalized Linear Models
Exercises
Multiple Regression
Overview
Parts of a Regression Model
Regression Definitions
A Multiple Regression Example
Residuals and Predicted Values
The Analysis of Variance Table
The Whole Model F-Test
Whole-Model Leverage Plot
Details on Effect Tests
Effect Leverage Plots
Collinearity
Exact Collinearity, Singularity, Linear Dependency
The Longley Data: An Example of Collinearity
The Case of the Hidden Leverage Point
Mining Data with Stepwise Regression
Exercises
Fitting Linear Models
Overview
The General Linear Model
Kinds of Effects in Linear Models
Coding Scheme to Fit a One-Way anova as a Linear Model
Regressor Construction
Interpretation of Parameters
Predictions Are the Means
Parameters and Means
Analysis of Covariance: Continuous and Categorical Terms in the Same Model
The Prediction Equation
The Whole-Model Test and Leverage Plot
Effect Tests and Leverage Plots
Least Squares Means
Lack of Fit
Separate Slopes: When the Covariate Interacts with a Categorical Effect
Two-Way Analysis of Variance and Interactions
Optional Topic: Random Effects and Nested Effects
Nesting
Repeated Measures
Method 1: Random Effects-Mixed Model
Method 2: Reduction to the Experimental Unit
Method 3: Correlated Measurements-Multivariate Model
Varieties of Analysis
Closing Thoughts
Exercises
Design of Experiments
Overview
Introduction
Key Concepts
JMP DOE
A Simple Design
The Experiment
Enter the Response and Factors
Define the Model
Is the Design Balanced?
Perform Experiment and Enter Data
Analyze the Model
Flour Paste Conclusions
Details of the Design - Confounding Structure
Using the Custom Designer
How the Custom Designer Works
Choices in the Custom Designer
An Interaction Model: The Reactor Data
Analyzing the Reactor Data
Where Do We Go From Here?
Some Routine Screening Examples
Main Effects Only (a Review)
All Two-Factor Interactions Involving A Single Factor
Alias Optimal Designs
Response Surface Designs
The Odor Experiment
Response Surface Designs in JMP
Analyzing the Odor Response Surface Design
Plotting Surface Effects
Specifying Response Surface Effects Manually
The Custom Designer vs. the Response Surface Design Platform
Split Plot Designs
The Box Corrosion Split-Plot Experiment
Designing the Experiment
Analysis of Split Plot Designs
Design Strategies
Design of Experiments Glossary
Exercises
Bivariate and Multivariate Relationships
Overview
Bivariate Distributions
Density Estimation
Bivariate Density Estimation
Mixtures, Modes, and Clusters
The Elliptical Contours of the Normal Distribution
Correlations and the Bivariate Normal
Simulating Bivariate Correlations
Correlations Across Many Variables
Bivariate Outliers
Outliers in Three and More Dimensions
Identify Variation with Principal Components Analysis
Principal Components for Six Variables
How Many Principal Components?
Discriminant Analysis
Canonical Plot
Discriminant Scores
Stepwise Discriminant Variable Selection
Cluster Analysis
Hierarchical clustering work: How Does it Work?
A Real-World Example
Some Final Thoughts
Exercises
Exploratory Modeling
Overview
Recursive Partitioning (Decision Trees)
Growing Trees
Exploratory Modeling with Partition
Saving Columns and Formulas
Neural Nets
A Simple Example
Modeling with Neural Networks
Saving Columns
Profiles in Neural
Exercises
Control Charts and Capability
Overview
What Does a Control Chart Look Like
Types of Control Charts
Variables Charts
Attributes Charts
Specialty Charts
Control Chart Basics
Control Charts for Variables Data
Variables Charts using Control Chart Builder
The Control Chart Builder Work Space
Control Chart Builder Examples
Control Charts for Attributes Data
Specialty Charts
Presummarize Charts
Levey-Jennings Charts
Uniformly Weighted Moving Average (UWMA) Charts
Exponentially Weighted Moving Average (EWMA) Chart
Capability Analysis
What is Process Capability?
Capability for One Process Measurement
Capability for Many Process Measurements
Capability for Time-Ordered Data
A Few Words About Measurement Systems
Exercises
Mechanics of Statistics
Overview
Springs for Continuous Responses
Fitting a Mean
Testing a Hypothesis
One-Way Layout
Effect of Sample Size Significance
Effect of Error Variance on Significance
Experimental Design’s Effect on Significance
Simple Regression
Leverage
Multiple Regression
Summary: Significance and Power
Mechanics of Fit for Categorical Responses
How Do Pressure Cylinders Behave?
Estimating Probabilities
One-Way Layout for Categorical Data
Logistic Regression
Analyze and Graph Menu Commands
Analyze Menu
Answers to Selected Exercises
Chapter 4, "Formula Editor Adventures"
Chapter 7, "Univariate Distributions: One Variable, One Sample"
Chapter 8, "The Difference Between Two Means"
Chapter 9, "Comparing Many Means: One-Way Analysis of Variance"
Chapter 10, "Fitting Curves through Points: Regression"
Chapter 11, "Categorical Distributions"
Chapter 12, "Categorical Models"
Chapter 13, "Multiple Regression"
Chapter 14, "Fitting Linear Models"
Chapter 15, "Design of Experiments"
Chapter 16, "Bivariate and Multivariate Relationships"
Chapter 17, "Exploratory Modeling"
Chapter 18, "Control Charts and Capability"
References and Data Sources
Technology License Notices
Index
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Index
A
Abrasion.jmp
Abstract Mathematics
Add Multiple Columns Command
Add Rows
Add Statistics Column command
Adjusted RSquare
AdverseR.jmp
Alcohol.jmp
1
,
2
,
3
Alias Matrix
1
,
2
Alias Optimal Designs
aliasing
alpha level
1
,
2
,
3
alternative hypothesis
1
,
2
Analgesics.jmp
1
,
2
Analysis of Covariance
1
,
2
analysis of variance
1
,
2
,
3
Analysis of Variance table
1
,
2
Analyze a Screening Model
Analyze menu
Analyze nenu
Animals.jmp
1
,
2
,
3
Annotate tool
anova
1
,
2
,
3
anova table
Anscombe.jmp
assignment functions (formula editor)
Assuming unequal variances
Assumptions
attributes charts
Augmentation (DOE)
Auto-hide menu and toolbars
Automess.jmp
1
,
2
,
3
average
1
,
2
B
BabySleep.jmp
1
,
2
Balanced (DOE)
Balanced Data means comparisons
balanced design
1
,
2
,
3
Bartlett’s test
1
,
2
beta level
1
,
2
Big Class.jmp
1
,
2
binomial model
biplot
Birth Death.jmp
1
,
2
,
3
bivariate density estimation
bivariate distributions
bivariate outliers
Bivariate platform
Blood Pressure by Time.jmp
Blood Pressure By Time.jmp
Body Measurements.jmp
Bonferroni’s adjustment
Box Corrosion Split-Plot Design.jmp
box plots
1
,
2
,
3
,
4
BP Study.jmp
Braces.jmp
Brown-Forsythe test
1
,
2
brush tool
Bubble Plot command
Building Formulas
built-in script
Business of Statistics
C
C Total
Candy.jmp
Canonical Curvature table
Canonical Plot
capability analysis
CP, CPK, CPL and CPU
goal plot
indices
Long Term Sigma
PP, PPK
process capability
Short Term Sigma
Capability.jmp
Car Poll.jmp
Cars.jmp
Cassini.jmp
Cassub.jmp
Categorical
categorical distributions, multivariate
categorical responses
and Count Data
large sample sizes
Simulated
standard error of the mean
Variability in the Estimates
Cell Plot command
Center points (DOE)
centering and scaling
Central Composite Design (CCD)
1
,
2
Central Limit Theorem
1
,
2
,
3
,
4
,
5
,
6
Central Limit Theorem.jmp
Cereal.jmp
ceteris paribus
Chamber.jmp
1
,
2
character functions (formula editor)
Chart command
Cheese Taste.jmp
Cheese.jmp
cherts.jmp
Children’s Popularity.jmp
chi-square
1
,
2
formula for
test
univariate categorical
Choice command
1
,
2
Cities.jmp
clipboard
Clips1.jmp
Cluster analysis
Cluster command
clusters
Coating.jmp
Cochran-Mantel-Haenszel test
Coding (DOE)
Col Shuffle Command
Cola.jmp
collinearity
1
,
2
,
3
,
4
,
5
exact singularity
example
longley data
Color Clusters
Color or Mark by Column
columns
Selecting and Deselecting
common causes
Companies.jmp
1
,
2
Comparing the Normal and Student’s t Distributions
comparison circles
1
,
2
,
3
,
4
interpreting
comparison functions (formula editor)
Comparison Operators
conditional distributions
Conditional Expressions
conditional functions (formula editor)
confidence interval
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
fiducial
for parameter estimates
for slope
Confidence.jsl
Confounding
Confounding Structure
Constant Expressions
Context Menu Commands
contingency table
1
,
2
,
3
continuous values
contour graph
Contour Grid
Contour Plot command
Contour Profiler
1
,
2
Contour Profiler command
control charts
1
,
2
,
3
,
4
C charts
common causes
for attributes
1
,
2
,
3
for variables
1
,
2
in control
Levey-Jennings charts
NP charts
P charts
presummarize charts
stable
1
,
2
Tailoring the Horizontal Axis
tests for special causes
1
,
2
U Charts
unstable
UWMA charts
control panel, formula editor
coordinate exchange
copy and paste
Copy command
Copy With Column Names
correlation
1
,
2
,
3
coefficients
many variables
multivariate
Correspondence Analysis
1
,
2
,
3
Corrsim.jmp
Counts report
CP, CPK, CPL and CPU
Creating a New JMP Table
Crime.jmp
1
,
2
crossed effects
crosshair tool
crosstabs
1
,
2
cumulative distribution function
Current Stock Averages.jmp
Cursors
Arrow
Double arrow
I-beam
List check
Pointer
Range check
Selection
curvature analysis
Custom Designer
1
,
2
,
3
,
4
Custom Profiler command
Customize JMP
Cutting, Dragging, and Pasting Formulas
D
Data Mining
Exploratory Modeling
Neural Nets
Recursive Partitioning
with stepwise regression
Database > Open
date time functions (formula editor)
Decathlon.jmp
Degradation command
degrees of freedom
1
,
2
,
3
,
4
,
5
delimiters
demoKernel.jsl
demoLeastSquares.jsl
dendrogram
1
,
2
,
3
Denim.jmp
density contours
Density Ellipse command
density estimation
density function
1
,
2
Design Evaluation
Design of Experiments (DOE)
Classical designs
Factorial Designs
factors
Model reduction
response
Response Surface Designs
Screening Design
Diagram command
Dice Rolls.jmp
Diet.jmp
disclosure icons
1
,
2
discrete probability (formula editor)
discriminant analysis
1
,
2
,
3
,
4
,
5
biplot
Conanical Plot
discriminant scores
Stepwise variable selection
distribution
Bernoulli
categorical
continuous
double exponential
exponential
1
,
2
,
3
F
Gaussian
multinomial
normal
Poisson
probability
simulation
uniform
unimodal
Distribution command
1
,
2
Distribution platform
1
,
2
,
3
,
4
,
5
DOE > Sample Size and Power
DOE Glossary
Augmentation
Balanced
Coding
Effect Precision
Effect Size
Folding
Fractional Factorial
Optimality
Orthogonal
Plackett-Burman
Resolution
Response Surface
Robustness
Screening Designs
Space Filling
Split Plot
Taguchi
DOE platform
Dolphins.jmp
Doped Wafers.jmp
Drawing Marbles
Drug.jmp
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
9
dummy variables
E
Earth’s Ecliptic
1
,
2
Editing a Formula
Effect Leverage Plots
Effect Precision (DOE)
Effect Screening
Effect Size (DOE)
effect sparsity
Effect Test table
eigenvalues
eigenvectors
EMP (Evaluating the Measurement Process)
Entering Count Data
Entering data
EWMA
exact nonparametric tests
Excel Files
1
,
2
expected value
Exponentially Weighted Moving Average (EWMA) chart
extreme values
F
Faces of Statistics
Factor Analysis
Factorial
F-distribution
fiducial confidence intervals
File > Export
financial functions (formula editor)
first principal component
Fit Line command
Fit Mean command
Fit Model command
Fit Model Dialog
Fit Parametric Survival command
Fit Polynomial command
Fit Proportional Hazards command
Fit Special command
Fit Y by X command
1
,
2
Fit Y by X Platform
Flipping Coins
Flrpaste.jmp
Folding (DOE)
Football.jmp
formula editor
control panel
derivative command
function list
keypad
keypad functions
Pieces and Parts
work panel
Formula Element Browser
Formulation
Fractional Factorial (DOE)
F-ratio
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
Frequencies
frequency counts
F-statistic
1
,
2
F-test
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
9
Full Factorial Design
G
G2 and X2
testing with
G2 Likelihood Ratio Chi-Square
1
,
2
,
3
Galton, Francis
1
,
2
,
3
,
4
Galton.jmp
Gauge R&R
Gaussian Process command
general linear models
1
,
2
,
3
Effect Tests
Interaction effects
Parameters and Means
prediction equation
Regressor Construction
Separate Slopes
generalized linear models
Geometric Moving Average (GMA) chart
GLIM
GMA
Goal Plot
1
,
2
Goodness of Fit
Gosset, William
Gosset’s Corn.jmp
grabber tool
grand mean
Grandfather Clocks.jmp
Graph Builder command
Graph menu
1
,
2
group means
1
,
2
,
3
grouped t-test
Growth.jmp
H
hand tool
hierarchical clustering
1
,
2
high-leverage points
histogram
1
,
2
,
3
,
4
,
5
,
6
,
7
Home Window (JMP on Windows)
Honestly Significant Difference (HSD)
Hot Dogs.jmp
1
,
2
Hotelling-Lawley trace
Hothand.jmp
1
,
2
,
3
HSD
1
,
2
Htwt12.jmp
Htwt15.jmp
1
,
2
I
Importing Data
Importing Microsoft Excel Files
Importing Text Files
Independence
expected values
testing for
1
,
2
Independent Groups
1
,
2
indicator variables
Individual Measurement charts
inference
Initialize Data
interaction plot
interactions
interquartile range
1
,
2
,
3
,
4
inverse prediction
1
,
2
Iris.jmp
1
,
2
iterative proportional fitting
J
jackknifed distances
JMP Data Tables
1
,
2
,
3
JMP Main Menu
JMP Starter
Join command
Juggling Data Tables
K
Kendall’s tau
Kernel Density Estimates
kernel smoothers
k-means clustering
Kolmogorov-Smirnov test
1
,
2
KSL
Lilliefors
Kruskal-Wallis test
KSL test
kurtosis
1
,
2
,
3
L
L1 (median least absolute values estimator)
lack-of-fit test
1
,
2
,
3
lasso tool
Launch an Analysis Platform
law of large numbers
LD50
1
,
2
Least Significant Difference (LSD)
1
,
2
least squares
1
,
2
,
3
,
4
demonstration
least squares means
1
,
2
Lenth’s PSE
Levels of Uncertainty
Levene’s test
1
,
2
leverage plots
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
effect
schematic
Levi Strauss Run-Up.jmp
Life Distribution command
likelihood
likelihood ratio chi-square
1
,
2
,
3
,
4
Likelihood Ratio Tests
Lilliefors test
Line Chart
linear dependency
linear models
coding scheme
kinds of effects
linear regression
models
Linnerud.jmp
1
,
2
Linnrand.jmp
Lipid Data.jmp
1
,
2
Loading plot
local variables
1
,
2
log odds-ratio
logistic regression
1
,
2
,
3
,
4
,
5
,
6
Degrees of Fit
logit
log-likelihood
1
,
2
log-linear models
Longley.jmp
LSD (Least Significant Difference)
LSMeans Plot command
M
MAD (median minimum absolute deviation estimator)
magnifier tool
Mahalanobis distance
1
,
2
,
3
Main Effects Only
Make Alias Optimal Design
Make into Data Table command
Make into Matrix
Mann-Whitney U test
1
,
2
marginal homogeneity
1
,
2
Mark Clusters
1
,
2
Match function
matched pairs
1
,
2
,
3
,
4
,
5
,
6
Matched Pairs platform
1
,
2
,
3
,
4
maximum likelihood
1
,
2
maximum likelihood estimator
1
,
2
,
3
Mb-dist.jmp
1
,
2
Mbtied.jmp
1
,
2
mean
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
mean square
1
,
2
error
Means and StdDev command
Means Comparisons
unbalanced data
means diamonds
1
,
2
,
3
,
4
,
5
,
6
overlap marks
Means/Anova command
Means/Anova/Pooled t command
1
,
2
,
3
Mechanics of Fit
Categorical Responses
median
1
,
2
,
3
,
4
,
5
,
6
Median rank scores
Median test
Mesh Plot command
Method of Moments
Michelson.jmp
Minimum-Aberration
missing value
Mixture Design
Mixture Profiler command
Mixtures, Modes, and Clusters
Model Comparison command
Modeling menu commands
modeling types
1
,
2
,
3
modes
moments
1
,
2
,
3
,
4
,
5
,
6
Monte Carlo
1
,
2
,
3
,
4
mosaic plots
1
,
2
,
3
movies.jmp
1
,
2
,
3
moving average
using the summation function
moving average charts
Moving data out of JMP
moving range charts
multinomial distribution
multiple comparisons
adjusting for
multiple regression
Effect Tests
example
Hidden Leverage Point
predicted values
prediction formula
stepwise
Multivariate Methods menu commands
N
Navigating Platforms
nested effects
1
,
2
,
3
,
4
,
5
Neural Nets
hidden nodes
Overfitting
Validation
Neural platform
1
,
2
New Column Command
nominal values
non-central t distribution
Nonlinear command
nonparametric methods
1
,
2
nonparametric multiple comparison
nonparametric statistics
Nonparametric tests
1
,
2
Nonparametric-Wilcoxon command
normal density
1
,
2
normal distribution
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
elliptical contours
normal mixtures
Normal Plot
1
,
2
,
3
normal quantile plot
1
,
2
,
3
,
4
,
5
,
6
,
7
and normality
Normal Quantile Plot command
Normal vs t.JSL
normality
null hypothesis
1
,
2
,
3
Number of Center Points
Number of Replicate Runs
numeric functions (formula editor)
O
O’Brien’s test
1
,
2
one-way layout
On-Time Arrivals.jmp
Open command
Open Database
Opening a JMP Data Table
Optimality (DOE)
Ordinal Logistic Regression
ordinal values
Orthogonal (DOE)
Outlier Analysis command
outliers
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
bivariate
Overlay Plot command
P
paired t-test
1
,
2
,
3
,
4
,
5
interpretation rule
Parallel Plot command
parametric model functions (formula editor)
Partition Analysis
Candidates
Crossvalidation
growing trees
LogWorth
Partition command
Partition Platform
Paste command
Paste With Column Names
Peanuts.jmp
1
,
2
Pearson chi-square
1
,
2
,
3
Pendulum.jmp
Pillai's trace
Plackett-Burman (DOE)
Plot Residuals command
1
,
2
Plotting Data
point estimate
Polycity.jmp
Polynomial Models
1
,
2
Pitfalls
polytomous responses
pooled t-test
Popcorn.jmp
power
1
,
2
,
3
PP, PPK
practical difference
Prediction Profiler
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
Desirability
Maximize Desirability
Response Goal
Preferences
Presidential Elections.jmp
Pressure Cylinders
principal components
1
,
2
,
3
Principal Components command
Probability and Randomness
probability distribution
1
,
2
probability functions (formula editor)
process capability
Product function
Profiler command
proof by contradiction
pure error
1
,
2
,
3
p-value
1
,
2
,
3
,
4
,
5
Animation
Q
Quality and Process menu commands
quantile box plot
1
,
2
,
3
Quantile function
quantiles
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
quartiles
Question Mark tool
R
raking
Randdist.jmp
1
,
2
Random
random effects
1
,
2
,
3
Correlated Measurements-Multivariate Model
Mixed Model
Reduction to the Experimental Unit
Varieties of Analysis
random functions (formula editor)
Random Normal function
Random Number Functions
Random Uniform function
1
,
2
,
3
Randomize
rank ordering
rank scores
r-charts
Reactor 20 Custom.jmp
Reactor 32 Runs.jmp
recode variables
Recurrence Analysis command
regression
1
,
2
,
3
,
4
,
5
clusters of points
Confidence Intervals on the Estimates
line
Parameter Estimates
properties
residuals
1
,
2
statistical tables
switching variables
Testing the Slope
1
,
2
three-dimensional view
to the mean
Why It’s Called Regression
regression definitions
coefficients, parameters
error, residual
intercept term
regressors, X’s
response, Y
Reliability and Survival menu commands
Reliability Forecast command
Reliability Growth command
REML report
repeated measures
1
,
2
,
3
,
4
Replicates (DOE)
resampling methods
residual error
residual plot
1
,
2
residual variance
residuals
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
9
,
10
,
11
resizing graphs
Resolution (DOE)
response categories
response probabilities
response surface designs (DOE)
1
,
2
,
3
Response Surface report
Ro.jmp
Robustness (DOE)
robustness of the median
Rolling Dice
root mean square error
1
,
2
row functions (formula editor)
row state functions (formula editor)
rows
adding
excluding
Highlighting
Selecting and Deselecting
Roy's maximum root
RSquare
Adjusted
S
S charts
sample mean
1
,
2
,
3
Sample Mean versus True Mean
sample median
sample quantile
sample size
Sample Size and Power
sample variance
1
,
2
Sampling Candy
SAS Transport Files
SAS V7 Data Set
saturated design
saturated model
Save As command
Save Residuals command
Save Selection As Command
scatterplot
Scatterplot 3D
Scatterplot 3D command
Scatterplot Matrix command
scatterplots
Scores.jmp
1
,
2
Scree Plot
1
,
2
Screening command
Screening Designs (DOE)
Examples
Screening for Interactions
second principal component
Select Misclassified Rows
Selecting Expressions
selection tool
Self-Organizing Map (SOM)
Shapiro-Wilk W test
1
,
2
Shewhart control chart
Shewhart, Walter
shortest half
signed-rank test
Significance
significance level
1
,
2
significant difference
Simprob.jmp
Simpson’s paradox
1
,
2
SimulatedClusters.jmp
Singularity Details report
skewness
1
,
2
,
3
Sleeping Animals.jmp
Slope.jmp
smooth curve
Socioeconomic.jmp
Solubility.jmp
1
,
2
Sort by Column command
Sort command
Space Filling (DOE)
sparse table
Spearman’s correlation
special causes
Special Tools
Specifying Response Surface Effects Manually
Spline Fit
Split command
Split Plot Designs
whole plots
Split Plot designs (DOE)
easy to change factors
hard to change factors
subplot, split plot
whole plots
split plots
spread
Spring.jmp
1
,
2
,
3
Springs for Continuous Responses
Stack command
1
,
2
stacked data
standard deviation
1
,
2
,
3
,
4
,
5
,
6
,
7
,
8
,
9
standard error
1
,
2
,
3
,
4
standard error of the mean
1
,
2
,
3
statistical functions (formula editor)
statistical inference
1
,
2
Statistical Process Control
Statistical Quality Control
Statistical Significance
1
,
2
Statistical Terms
statistical thinking
statistics
1
,
2
,
3
,
4
,
5
Biased, Unbiased
stem-and-leaf plot
1
,
2
stepwise regression
1
,
2
Student’s t-distribution
1
,
2
Student’s t-statistic
Student’s t-test
1
,
2
,
3
one-sided
Subgroup button
subscripts (formula editor)
Subset command
Sum function
sum of squares
Summarize Down Columns or Across Rows
Summary command
1
,
2
Summary of Fit table
Summary Statistics
Summation Function
sum-to-zero coding
Surface Effects
Surface Plot
Surface Plot command
Surface Profiler
1
,
2
Survey Data
Survival command
T
Table Styles
Table Variables
Tables menu
Taguchi (DOE)
Teeth.jmp
Ternary Plot command
Test Mean command
1
,
2
,
3
testing for normality
Testing Hypotheses
Text Export Files
Therm.jmp
1
,
2
time series
Time Series command
Tip of the Day
Titanic.jmp
1
,
2
TOST method
transcendental functions (formula editor)
Transformed Fits
Tree Map command
Triangle Probability.jsl
trigonometric functions (formula editor)
true mean
t-statistic
t-test
1
,
2
,
3
,
4
,
5
,
6
grouped
paired
Tukey-Kramer Honestly Significant Difference
Two-Sided versus One-Sided
Two-Tailed versus One-Tailed
Two-way Analysis of Variance
two-way tables
1
,
2
,
3
entering
Type I error
1
,
2
,
3
,
4
Type II error
1
,
2
,
3
Typing.jmp
U
U charts
unbiased estimator
unequal variance
testing means
tests
UnEqual Variance command
Uniform function
Uniformly Weighted Moving Average (UWMA) Charts
UWMA
V
validate experimental results
validating statistical assumptions
van der Waerden rank scores
Van der Waerden rank scores
van der Waerden score
variability
1
,
2
Variability/Gage Chart platform
variables charts
variance
1
,
2
,
3
,
4
,
5
variance components
Variance Components Analysis
W
W statistic
Washers.jmp
Western Electric Rules
Westgard Rules
whiskers
Whole-Model report
whole-model test
Wilcoxon rank scores
1
,
2
Wilcoxon Rank Sum test
1
,
2
,
3
,
4
,
5
Wilcoxon signed-rank test
1
,
2
,
3
,
4
Wilk's lambda
Working with Graphs and Reports
World Demographics.jmp
X
XBar charts
Z
z-statistic
z-test
1
,
2
Add Highlight
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