Index

A

1. absolute values, ranking
2. Actual By Predicted plot
3. Add-In
   1. missing data
   2. structure of
4. Add-Ins menu
5. Advanced Controls outline
6. Agreement Comparisons panel
7. Agreement within Raters panel
8. All Pairs option
9. All Possible Models option
10. Alt key
11. amounts, analyzing
12. analysis
    1. of amounts
    2. baseline
    3. cluster
    4. conducting
    5. in JMP
    6. missing data
    7. results using Process Capability platform
13. analysis data sets
    1. checking
    2. constructing
14. Analysis of Variance table
15. analysis sets
    1. constructing
    2. distribution of
16. Analyze menu
17. anatomy, of JMP
18. Application Builder
19. Augment Design platform
20. automatic splitting
21. Average Chart
22. axis settings, copying and pasting

B

1. baseline analysis
2. baseline data
3. Bayesian Information Criterion (BIC)
4. bias
5. Bias Factors Std Dev, in Profiler
6. BIC (Bayesian Information Criterion)
7. bivariate plots, adding horizontal reference lines to
8. black belt
9. Boosted Tree model
10. Boosted Tree report
11. Boosting panel
12. Box, George
13. boxplots, displaying in Graph Builder
14. broadcasting commands to all reports
15. Bubble Plot (Graph menu)
16. Bubble Size slider
17. ButtonBox()
18. buyer's viewpoint

C

1. capability
   1. obtaining analysis of
   2. projected
   3. simulated
2. Capability Box Plots
3. case studies
   1. Classification of Cells
   2. Improving a Polymer Manufacturing Process
   3. Improving the Quality of Anodized Parts
   4. Informing Pharmaceutical Sales and Marketing
   5. Reducing Hospital Late Charge Incidents
   6. Transforming Pricing Management in a Chemical Supplier
4. Categorical Profiler
5. cause-and-effect diagram, constructing in JMP
6. causes
   1. combining
   2. types of
7. CDA (Confirmatory Data Analysis)
8. Cell Plot script
9. champion
10. Char() command
11. chunking variables
12. CIELAB (Commission Internationale de l'Eclairage)
13. classification models, comparing
14. Classification of Cells case study
    1. about
    2. background
    3. Collect Data step
    4. comparing classification models
    5. constructing training, validation, and test sets
    6. data exploration
    7. Frame Problem step
    8. Generalized Regression platform
    9. neural net models
    10. prediction models
    11. recursive partitioning
    12. Stepwise Logistic Model
15. clbChangeScript
16. Clean task, in data management
17. Clear button
18. Clear Row States command
19. closing reports
20. cluster analysis
21. Collect Data step, in VSS Data Analysis Process
    1. about
    2. in Classification of Cells case study
    3. DMAIC (Define, Measure, Analyze, Improve, and Control) approach and
    4. examples of
    5. in Improving the Quality of Anodize Parts case study
    6. in Informing Pharmaceutical Sales and Marketing case study
    7. in Reducing Hospital Late Charge Incidents case study
    8. in Transforming Pricing Management in a Chemical Supplier case study
22. coloring points
23. colors, changing in reports
24. Colors and Markers script
25. Column Contribution report
26. Column Info command
27. Column Info window
28. Column Property
29. Column Switcher
30. Column Viewer
31. columns
    1. adjusting structure of
    2. excluding
    3. grouping
    4. hiding
    5. inserting descriptions in
    6. properties of
    7. saving specification limits as
32. Columns menu
    1. about
    2. displays in
    3. illustrated
33. Columns panel (JMP)
34. Columns Viewer report
35. Combine task, in data management
36. Combine Windows feature
37. commands
    1. See also specific commands
38. Commission Internationale de l'Eclairage (CIELAB)
39. Compare Means option
40. Comparison Circles, obtaining
41. Concat() command
42. Concatenate (Tables menu)
43. concatenating data tables
44. concavity
45. confirmation runs
46. Confirmatory Data Analysis (CDA)
47. confirmatory study, exploratory study versus
48. Confusion Matrices, constructing
49. Confusion Matrix report
50. Containers outline
51. context sensitive commands
52. Contingency Table
53. contour plot, creating
54. Contour Profiler (Graph menu)
55. Control Chart Builder
56. Control Charts
57. Control key
58. Control Limit property
59. control limits
60. Control Matrix
61. control panel (Boosted Tree model)
62. correlations
    1. pairwise
    2. Scatterplot Matrix and
63. crisis yields, filtering
64. critical to quality (CTQ)
65. Critical to Quality Characteristics (CTQs)
66. Critical to Quality Tree
67. CTQ (critical to quality)
68. CTQs (Critical to Quality Characteristics)
69. Cumulative Validation plot
70. Current Estimates panel
71. Custom Design platform
72. customers, in data sets

D

1. data
   1. See also Collect Data step, in VSS Data Analysis Process; data quality
   2. baseline
   3. collection examples
   4. exploring
   5. free trade
   6. importing
   7. missing
   8. observational versus experimental
   9. scoping
   10. splitting
   11. validating
   12. verifying integrity of
2. data analysis
   1. See also Visual Six Sigma (VSS) Data Analysis Process
   2. making lean
   3. obtaining
3. Data Filter dialog
4. data grid
5. data management
   1. See also data
6. data mining
7. data quality
   1. See also data
8. data table panels
9. Data Table toolbar
10. data tables
    1. adding descriptions for variables in
    2. concatenating
    3. creating views of
    4. dynamic linking to
    5. in JMP
    6. joining
    7. preparing
    8. saving
    9. using two
11. Data Type
12. Data View table
13. dates, in JMP
14. Decision Tree model
15. Defect table
16. Define, Measure, Analyze, Design, and Validate (DMADV)
17. Define, Measure, Analyze, Improve, and Control approach
    1. See DMAIC (Define, Measure, Analyze, Improve, and Control) approach
18. Define Abs [Amount] script
19. democracy, trade policy and
20. dendogram
21. Derive task, in data management
22. Describe task, in data management
23. descriptions, adding for variables in data tables
24. descriptive variables, using Local Data Filter for
25. Design for Six Sigma (DFSS)
26. design of experiments (DOE)
27. Design panel
28. designs, developing
29. Desirability Functions
30. desirability traces
31. detective, statistics as
32. DFSS (Design for Six Sigma)
33. Diagram plot
34. disclosure icons
35. distribution
    1. about
    2. of analysis sets
    3. dynamic linking and
    4. dynamic visualization of variables using
    5. exploring
    6. using
    7. of variables
36. Distribution (Analyze menu)
37. Distribution Analysis, obtaining
38. Distribution platform (JMP)
39. Distribution plot
40. Distribution report
41. Distribution script
42. DMADV (Define, Measure, Analyze, Design, and Validate)
43. DMAIC (Define, Measure, Analyze, Improve, and Control) approach
    1. application of
    2. defined
    3. using to deliver bottom-line results in short or medium term
44. DOE (design of experiments)
45. DOE Dialog script
46. DOE menu
47. duplicate rows, keys and
48. dynamic linking
    1. to data tables
    2. distribution and
49. dynamic visualization
    1. See also visualizing
    2. of multiple variables at once
    3. of prescriptions with tabular displays
    4. of sales reps and practices geographically
    5. using
    6. of variables one and two at a time
    7. of variables two at a time
    8. of variables using distribution

E

1. Each Pair option
2. Early Stopping
3. EDA (Exploratory Data Analysis)
4. Edit toolbar
5. Effect Summary report
6. Effect Tests table
7. effectiveness, of measurement system
8. Effectiveness Report
9. Elastic Net model, fitting
10. Elastic Net Prediction Equation, saving
11. EMP Gauge R&R Results panel
12. EMP Gauge R&R Results report
13. entry order, viewing by
14. error
15. Estimation Details outline
16. ETL (extract, transform and load) processes
17. Evaluate Design platform
18. examples, of Collect Data step in VSS Data Analysis Process
19. excluding
    1. columns
    2. outliers
    3. points on histograms
    4. rows
20. executive committee
21. experimental data, observational data versus
22. experimental design
23. experiments, conducting
24. Exploratory Data Analysis (EDA)
25. exploratory study, confirmatory study versus
26. extract, transform and load (ETL) processes

F

1. factors, specifying
2. Factors panel
3. File toolbar
4. filtering
   1. crisis yields
   2. data values with Local Data Filter
   3. by month
5. findings, summarizing
6. Fit All Prediction Formulas script
7. Fit Model (Analyze menu)
8. Fit Model report
9. Fit Special
10. Fit Y by X (Analyze menu)
11. fitting
    1. Boosted Tree model
    2. Decision Tree model
    3. Elastic Net model
    4. Lasso model
    5. lines
    6. logistic model
    7. models
    8. Neural Net models
12. Fitting Options panel
13. Fixed Effects Tests report
14. FontColor()
15. For() loop
16. Formula column property
17. Formula Editor
18. formulas
    1. creating
    2. viewing in Formula Editor
19. fractal dimension
20. Frame Problem step, in VSS Data Analysis Process
    1. about
    2. in Classification of Cells case study
    3. DMAIC (Define, Measure, Analyze, Improve, and Control) approach and
    4. in Improving a Polymer Manufacturing Process case study
    5. in Improving the Quality of Anodize Parts case study
    6. in Reducing Hospital Late Charge Incidents case study
    7. in Transforming Pricing Management in a Chemical Supplier case study
21. free trade data
22. frequency, of measurements
23. Full Factorial Design platform

G

1. Gauge Repeatability and Reproducibility (Gauge R&R) study
2. Gauge R&R Std Dev
3. gbUpdateScript
4. Generalized Regression modeling
5. Generalized Regression report
6. Go button
7. Goal Plot
8. Goos, Peter
   1. Optimal Design of Experiments: A Case Study Approach
9. Graph Builder (Graph menu)
   1. about
   2. checking analysis data sets
   3. constructing a plot for two variables with
   4. using
   5. viewing outliers with
   6. visualizing two variables at a time with
10. Graph menu (JMP)
    1. about
    2. displays in
    3. getting reports from
    4. illustrated
11. GraphBox()
12. graphs
    1. creating
    2. displaying elements of in Graph Builder
13. green belt
14. grouping
    1. columns
    2. predictors
15. guidelines, Visual Six Sigma and

H

1. Hidden Layer Structure panel
2. hiding
   1. columns
   2. outliers
   3. panes in JMP
   4. points on histograms
   5. rows
3. hierarchical processes
4. histograms, selecting outliers on
5. historical data, reviewing
6. HListBox()
7. horizontal reference lines, adding to bivariate plots
8. Hot Xs

I

1. Identify, Design, Optimize, and Validate (IDOV)
2. importing data
3. improvements
   1. confirming
   2. planning
   3. tracking
   4. verifying
4. Improving a Polymer Manufacturing Process case study
   1. about
   2. background
   3. forming teams
   4. Frame Problem step
   5. manufacturing process
   6. Measurement System Analysis (MSA)
   7. Model Relationships step
   8. reviewing historical data
   9. Revise Knowledge step
   10. typical crisis
   11. Uncover Relationships step
   12. Utilize Knowledge step
5. Improving the Quality of Anodized Parts case study
   1. about
   2. background
   3. Collect Data step
   4. Frame Problem step
   5. Model Relationships step
   6. Revise Knowledge step
   7. Roadmap
   8. Uncover Relationships step
   9. Utilize Knowledge step
6. In-Control Part Std Dev
7. Individual Measurement chart
8. Informing Pharmaceutical Sales and Marketing case study
   1. about
   2. background
   3. Collect Data step
   4. promotional activity
   5. regional differences for
   6. scoping data
   7. Uncover Relationships step
   8. validating data
9. infrastructure, of typical Six Sigma deployment
10. Input/Output process map
11. integrity, of data
12. interactions
13. interoperability, with R
14. Intraclass Correlation
15. IR charts, obtaining
16. Is Missing() function

J

1. JMP®
   1. about
   2. Analyze menu
   3. anatomy of
   4. application building in
   5. Columns menu
   6. data tables
   7. DOE menu
   8. dynamic linking to data tables
   9. featured analyses
   10. featured visual displays
   11. Graph menu
   12. opening
   13. personalizing
   14. programming in
   15. reports
   16. Rows menu
   17. scripts
   18. Tables menu
   19. techniques
   20. visual displays
   21. Visual Six Sigma Roadmap and
   22. VSS Data Analysis Process and
   23. window management
2. JMP Home Window
3. JMP Pro version 29
4. JMP Scripting Language (JSL)
5. JMP Starter Window
6. Join (Tables menu)
7. Jones, Bradley
   1. Optimal Design of Experiments: A Case Study Approach
8. JSL (JMP Scripting Language)

K

1. kappa value
2. Key Performance Indicator (KPI)
3. keys, duplicate rows and
4. KPI (Key Performance Indicator)

L

1. labelled rows
2. Lack Of Fit Test
3. Lasso model, fitting
4. Lasso Prediction Equation, saving
5. Lasso tool
6. Lasso with Validation Column Validation
7. launch platforms
8. lawyer, statistics as
9. Leaf Report
10. Learning Rate
11. Least Squares Mean Table
12. Legend window
13. lines, fitting
14. LineUpBox()
15. linking with Contour Profiler
16. ListBox()
17. Local Data Filter
    1. about
    2. filtering data values with
    3. finding relationships using
    4. using for descriptive variables
    5. using for response variables
18. Lock Columns
19. Lock Scales option
20. logistic model, fitting
21. long term

M

1. Magnifier tool
2. Make Validation Column script
3. management
4. manufacturing process, in Improving a Polymer Manufacturing Process case study
5. marking points
6. Mast, Jeroen de
7. master black belt
8. Maximize Desirability
9. mean fractal dimension
10. Means Comparison report
11. Measurement System Analysis (MSA) study
    1. about
    2. following-up with
    3. in Improving a Polymer Manufacturing Process case study
    4. for MFI
    5. for Xf
12. measurement systems, fixing
13. measurements
14. Measures of Fit for Diagnosis report
15. Minimum Size Split
16. missing data
    1. add-in for
    2. analyzing
    3. application building
    4. identifying
    5. JMP 12 functionality for
    6. understanding
17. Missing Data Pattern (Tables menu)
18. Missing Data Pattern report
19. Missing Value Clustering
20. Missing Value report
21. Missing Value Snapshot
22. Model Comparison report
23. Model Launch outline, panels in
24. Model Launch panel
25. Model NTanH(3) report
26. Model NTanH(3) NBoost(10) report
27. Model Relationships step, in VSS Data Analysis Process
    1. about
    2. conducting the experiment
    3. design development
    4. DMAIC (Define, Measure, Analyze, Improve, and Control) approach and
    5. Improving a Polymer Manufacturing Process case study
    6. Improving the Quality of Anodize Parts case study
    7. Transforming Pricing Management in a Chemical Supplier case study
    8. uncovering Hot Xs
28. Model script
29. Model Summary report
30. Model with Random Effect script
31. modeling, planning for
32. Modeling menu
33. Modeling Type
34. Modeling>Model Comparison (Analyze menu)
35. Modeling>Neural Net (Analyze menu)
36. Modeling>Partition (Analyze menu)
37. models
    1. about
    2. building
    3. fitting
    4. prediction
38. month, filtering by
39. mosaic plots, creating
40. MSA (Measurement System Analysis) study
    1. about
    2. following-up with
    3. for MFI
    4. for Xf
41. Multiple Fits over Splits and learning rate
42. Multi-Vari chart, creating
43. Multivariate k-Nearest Neighbor Outliers option
44. Multivariate Methods>Cluster (Analyze menu)
45. Multivariate Methods>Multivariate (Analyze menu)
46. Multivariate Methods>Principal Components (Analyze menu)
47. Multivariate Normal Imputation
48. multivariate outliers, identifying
49. Multivariate Robust Outliers option
50. Multivariate SVD Imputation

N

1. Neural modeling
2. neural net model launch dialog, obtaining
3. Neural Net models
   1. about
   2. background
   3. Neural Net
   4. Neural Net
   5. Neural platform in JMP
4. noise
5. noise function
6. Non Critical quadrant, in Product Categorization Matrix
7. nonparametric fit
8. notes, viewing for variables
9. Notes Column property
10. Number of Subgroups, in Profiler
11. numbers, recoding

O

1. Objects outline
2. Objects panel
3. observational data, experimental data versus
4. one way plot, creating
5. opening JMP
6. Optimal Design of Experiments: A Case Study Approach (Goos and Jones)
7. optimal factor level settings, determining
8. optimal strategies, identifying
9. optimization
   1. simultaneous
   2. using Profiler for multiple
10. options
    1. See specific options
    2. for Add-Ins menu
    3. in Classification of Cells case study
    4. for Decision Tree model
    5. in Improving a Polymer Manufacturing Process case study
    6. in Informing Pharmaceutical Sales and Marketing case study
11. Outlier Boxplot Option
12. outliers
    1. checking for
    2. excluding
    3. hiding
    4. selecting on histogram
13. overall process capability
14. Overall Sigma Summary Report
15. Overall Statistics report
16. Overfit Penalty

P

1. pairwise correlations
2. PanelBox()
3. panes, manipulating in JMP
4. Parallelism Plots
5. Parameter Estimates for Centered and Scaled Predictors report
6. Parameter Estimates for Original Predictors outline
7. Parameter Estimates report
8. Pareto Plot
9. Part Mean Shift, in Profiler
10. Part Std Dev, in Profiler
11. partition analysis, obtaining
12. Partition platform
13. Partition report
14. partitioning, recursive
15. Partitioning modeling
16. PCA (principal components analysis)
17. Percent format
18. percentages, calculating using Formula Editor
19. performance gap
20. platforms
    1. See also specific platforms
    2. in Classification of Cells case study
    3. in Improving a Polymer Manufacturing Process case study
    4. in Informing Pharmaceutical Sales and Marketing case study
21. Platforms option
22. Potential Outliers
23. "The Power to Know™"
24. Ppk
25. prediction formulas
    1. entering as column properties
    2. saving
    3. saving to data table
26. prediction models
27. Prediction Profiler
28. predictive analytics
29. predictors
    1. assessing sensitivity to settings
    2. contribution of
    3. grouping
30. Preferences menu
31. pricing deficit
32. pricing management process
33. primary key, finding
34. principal components analysis (PCA)
35. Print() command
36. Process Capability platform
37. process maps
38. process owner
39. processes
    1. defining
    2. verifying stability
40. Product Categorization Matrix
41. Product Variation variance component
42. products, in data sets
43. Profiler (Graph menu)
44. Profit Matrix
45. project charters, developing
46. projected capability
47. projects, identifying
48. promotional activity
49. properties, of good measurement systems
50. Properties outline
51. Prune button

Q

1. Quality and Process>Control Chart Builder (Analyze menu)
2. Quality and Process>Diagram (Analyze menu)
3. Quality and Process>Measurement Systems Analysis (Analyze menu)
4. Quality and Process>Pareto Plot (Analyze menu)
5. Quality and Process>Process Capability (Analyze menu)
6. Quality and Process>Variability/Attribute Gauge Chart (Analyze menu)
7. Quantile Range Outliers option
8. Quantiles panel
9. Quantiles report

R

1. R chart, constructing
2. Range Chart
3. recoding numbers
4. recursive partitioning
   1. about
   2. Boosted Tree model
   3. Decision Tree model
5. red triangle icons
6. Red X
   1. See Hot Xs
7. Reducing Hospital Late Charge Incidents case study
   1. about
   2. Collect Data step
   3. Frame Problem step
   4. identifying projects
   5. Uncover Relationships step
   6. uncovering Hot Xs
8. Reformat Script option
9. regional differences
10. Regression Plot
11. relationships
    1. exploring for two variables at a time
    2. finding using Local Data Filter
12. REML Variance Component Estimates report
13. Remove button
14. Repeatability variance component
15. reports
    1. See also specific reports
    2. broadcasting commands to all
    3. changing colors in
    4. closing
    5. defined
    6. in JMP
    7. sorting
16. Reproducibility variance component
17. Reshape task, in data management
18. response distribution analysis
19. Response Goal window
20. response variables
    1. adding
    2. using Local Data Filter for
21. responses, specifying
22. results
    1. analyzing using Process Capability platform
    2. interpreting
23. Revise Knowledge step, in VSS Data Analysis Process
    1. about
    2. addressing conclusions with
    3. confirmation runs
    4. determining optimal factor level settings
    5. DMAIC (Define, Measure, Analyze, Improve, and Control) approach and
    6. Improving a Polymer Manufacturing Process case study
    7. Improving the Quality of Anodize Parts case study
    8. linking with Contour Profiler
    9. projected capability
    10. sensitivity
    11. Transforming Pricing Management in a Chemical Supplier case study
24. RMSE (root mean squared error)
25. Roadmap
    1. Improving the Quality of Anodize Parts case study
    2. JMP and
    3. Visual Six Sigma
26. Robust Fit Outliers option
27. root mean squared error (RMSE)
28. row states
29. rows, excluding and hiding
30. Rows menu
    1. about
    2. displays in
    3. illustrated
31. Rows panel (JMP)
32. Run Script
33. running scripts in JMP

S

1. Sample Size and Power platform
2. Save Formulas option
3. saving
   1. data tables
   2. Elastic Net Prediction Equation
   3. Lasso Prediction Equation
   4. Logistic Prediction Equation
   5. Neural Net 2 Prediction Equation
   6. prediction formulas
   7. prediction formulas to data table
4. Scale panel
5. Scaled-LogLikelihood plot
6. scatterplot, creating
7. Scatterplot 3D (Graph menu)
8. Scatterplot Matrix (Graph menu)
9. Screening Design platform
10. Scripting Index
11. scripts
    1. See also specific scripts
    2. JMP
    3. running in JMP
12. Second function
13. Select Columns window
14. selected rows
15. seller's viewpoint
16. senior executive
17. sensitivity
18. Sensitivity Indicator
19. serial processes
20. SetWrap()
21. Shift Detection Profiler
22. Sigma column properties
23. signal function
24. Simulate button
25. simulated capability
26. simulating process outcomes
27. Simulator
28. simultaneous optimization
29. SIPOC (Suppliers, Inputs, Process, Outputs, and Customers) map
30. Six Sigma
    1. See also Visual Six Sigma
    2. about
    3. background of
    4. beyond traditional
    5. common perceptions and definitions of
    6. DMADV approach and
    7. DMAIC structure and
    8. dynamic visualization
    9. infrastructure
    10. measurements
    11. models
    12. observational versus experimental data
    13. questions related to deployment of
    14. statistics
    15. variation
31. SliderBox()
32. Small Tree View option
33. Solution Path report
34. Sort (Tables menu)
35. Sorted Parameter Estimates table
36. sorting reports
37. SpacerBox()
38. Spec Limits column property
39. specification limits
    1. saving as column properties
    2. setting
40. specifications, proposing
41. Specifications report
42. Split button
43. Split History report
44. splitting
    1. about
    2. automatic
    3. data
    4. history for
45. Stack command
46. standard deviation plot, removing
47. standard deviations, entering as column properties
48. Statistical Discovery
49. statistical modeling
50. statistical significance
51. statistics
    1. defined
    2. as detective
    3. as lawyer
    4. Six Sigma and
52. Std Dev chart
53. Step button
54. Step History panel
55. Stepwise Logistic model
56. stepwise models
    1. checking and revising
    2. variable selection with
57. Stepwise Regression
    1. control panel
    2. modeling
58. Stepwise report
59. Stop button
60. Strategic Critical quadrant, in Product Categorization Matrix
61. Strategic Security quadrant, in Product Categorization Matrix
62. strategies, Visual Six Sigma
63. structure, of Add-Ins
64. Subgroup Size, in Profiler
65. Subset (Tables menu)
66. Summary (Tables menu)
67. Summary Reports
68. Summary Statistics report
69. Summary tables
70. Suppliers, Inputs, Process, Outputs, and Customers (SIPOC) map
71. supply/demand balance, in data sets
72. Surface Plot (Graph menu)
73. Surface Profiler

T

1. Table panel
2. Table Variable
3. tables, creating for summary statistics of variables
4. Tables menu
   1. about
   2. displays in
   3. illustrated
5. tabular displays, dynamic visualization of prescriptions with
6. Tabulate (Analyze menu)
7. tabulation results, producing
8. Tactical Profit quadrant, in Product Categorization Matrix
9. TanH
10. teams, forming
11. techniques, JMP
12. test sets
    1. comparing models on
    2. constructing
13. testing and inference
14. Test-Retest Std Dev, in Profiler
15. TextBox()
16. timelines, setting new
17. Tip of the Day window
18. toolbars, customizing in JMP
19. traces, visualizing
20. trade policy, democracy and
21. training sets, constructing
22. transfer functions
23. Transforming Pricing Management in a Chemical Supplier case study
    1. about
    2. background
    3. Collect Data step
    4. Frame Problem step
    5. Model Relationships step
    6. Revise Knowledge step
    7. Uncover Relationships step
    8. Utilize Knowledge step
24. Transpose (Tables menu)
25. tree map
26. tree structure, in JMP
27. Treemap (Graph menu)
28. Trip, Albert
29. Tukey HSD option
30. two-way interactions, adding

U

1. Uncover Relationships step, in VSS Data Analysis Process
   1. about
   2. in case studies
   3. DMAIC (Define, Measure, Analyze, Improve, and Control) approach and
   4. Improving the Quality of Anodize Parts case study
   5. Informing Pharmaceutical Sales and Marketing case study
   6. in Reducing Hospital Late Charge Incidents case study
   7. Transforming Pricing Management in a Chemical Supplier case study
2. uncovering Hot Xs
3. unhiding panes in JMP
4. Utilize Knowledge step, in VSS Data Analysis Process
   1. about
   2. DMAIC (Define, Measure, Analyze, Improve, and Control) approach and
   3. Improving a Polymer Manufacturing Process case study
   4. Improving the Quality of Anodize Parts case study
   5. Transforming Pricing Management in a Chemical Supplier case study

V

1. Validation Column
2. Validation Method
3. Validation Portion
4. Validation report
5. validation sets, constructing
6. Value Colors column property
7. Value Labels property
8. Var Comps Model
9. Variability Chart
10. Variable Importance feature
11. variables
    1. adding descriptions for in data tables
    2. chunking
    3. creating tables for summary statistics of
    4. distribution of
    5. dynamic visualization of multiples at once
    6. dynamic visualization of one and two at a time
    7. dynamic visualization of two at a time
    8. dynamic visualization of using distribution
    9. exploring relationships for two at a time
    10. response
    11. viewing notes for
    12. visualizing one at a time
    13. visualizing two at a time
12. variance components
13. variation
    1. defined
    2. Six Sigma and
14. versions, JMP
15. viewing
    1. by entry order
    2. formulas in Formula Editor
    3. notes for variables
16. virtual column
17. visual displays, in JMP
18. Visual Six Sigma
    1. See also Six Sigma; specific topics
    2. about
    3. data analysis process
    4. data quality for
    5. guidelines for
    6. roadmap for
    7. strategies of
19. Visual Six Sigma (VSS) Data Analysis Process
    1. about
    2. illustrated
    3. JMP and
20. visualizing
    1. See also dynamic visualization
    2. about
    3. one variable at a time
    4. traces
    5. two variables at a time
21. Vital X
    1. See Hot X
22. VListBox()
23. voice of the customer (VOC)

W

1. Weight column
2. Window List pane (JMP Home Window)
3. windows, managing in JMP
4. Wisconsin Breast Cancer Diagnostic Data Set
   1. See Classification of Cells case study

X

1. XBar chart, constructing