Using JMP Student Edition, Third Edition

Book description

Using JMP Student Edition is the official user guide for JMP Student Edition, the streamlined edition of JMP for first year statistics students. Clearly written, with easy-to-follow, step-by-step instructions, this book provides engaging illustrations and concept overviews. Chapters cover JMP basics such as importing data, creating formulas, creating graphs with Graph Builder, and performing univariate and bivariate data analysis. More complex analyses are covered, including Partition, Multiple Regression, Time Series, Design of Experiments, Variability Gauge Charts, and Quality Control, and more. JMP Student Edition software is available from major textbook publishers when packaged with their textbooks for course use.

Table of contents

  1. Using JMP® 12 Student Edition (1/2)
  2. Using JMP® 12 Student Edition (2/2)
  3. Table of Contents (1/2)
  4. Table of Contents (2/2)
  5. Getting Started with JMP Student Edition
    1. Prerequisites for This Book
      1. Computer and Operating System
      2. Statistics
    2. Conventions Used in This Book
    3. JMP Student Edition Documentation
      1. JMP Documentation Suite
      2. JMP Help
    4. Additional Resources for Learning JMP
      1. Tutorials
      2. Sample Data Tables
      3. Calculators
      4. Teaching Demos
      5. Learn JMP Tips and Tricks
      6. Tooltips
      7. Access Resources on the Web
    5. Starting JMP Student Edition
    6. Manage JMP Files and Open Windows
      1. JMP Home Window on Windows
        1. Recent Files
        2. Window List
        3. Projects
        4. JMP Home Window Buttons
      2. JMP Home Window on Macintosh
    7. JMP Student Edition Toolbars
      1. Windows
      2. Macintosh
    8. First Session
      1. Finding Means, Medians, and Standard Deviations
      2. Where to Go from Here
  6. Working with Data
    1. Introduction
    2. Importing Data
      1. Windows
      2. Macintosh
      3. Importing Text Files
      4. Text Import Preview Options
      5. Open a Text File in a Text Editing Window
      6. Import Text from the Script Window
    3. Import Remote Files and Web Pages
    4. Import SPSS Files
    5. Import Excel Files
      1. Import a Microsoft Excel File Directly
      2. About the JMP Add-In for Excel (Windows Only)
        1. Excel 2007 through 2013
        2. Excel 2003
      3. Import Data Using the Excel Add-In
      4. Transfer Excel Data to a JMP Data Table
      5. Profiling Models Stored in Excel
      6. Running the JMP Profiler
      7. Example of an Excel Model
        1. Using Linear Constraints
        2. Resolution of Profile Lines
      8. Using the Excel Profiler from JMP
    6. Create New Data Tables
    7. Tabulate Data
      1. Create a Table in Tabulate
      2. Elements of a Table in Tabulate
        1. Grouping Columns
        2. Analysis Columns
        3. Statistics
        4. Columns by Categories
      3. Click and Drag Items
      4. Insert a Grouping Column
      5. Insert an Analysis Column
      6. Use the Dialog
        1. Column Tables and Row Tables
      7. Edit Tables in Tabulate
        1. Change Numeric Formats
        2. Delete Items
        3. Remove Column Labels
        4. Edit Statistical Key Words and Labels
      8. Additional Tabulate Options
        1. Use Large Amounts of Data (the Test Build Feature)
      9. Example of Tabulating Data
        1. Create a Table of Counts
        2. Create a Table Showing Statistics
        3. Rearrange the Table Contents
  7. Creating Formulas
    1. Introduction
    2. Virtual Formula Columns
      1. Example
    3. Virtual Column Options
      1. Transform Menu
      2. Combine Menu
      3. Aggregate Menu
      4. Distributional Menu
      5. Date Time Menu
      6. Character Menu
      7. Row Menu
      8. Virtual Column Options
  8. Graph Builder Platform
    1. Introduction
      1. Launching Graph Builder
        1. The Graph Area and Zones
        2. Element Type Icons
        3. Buttons
    2. Graph Builder Options
      1. Right-Click Menu for a Graph
      2. Additional Right-Click Menus
    3. Add Variables
      1. Move Grouping Variable Labels
      2. Separate Variables into Groups
    4. Change Variable Roles
    5. Remove Variables
    6. Add Multiple Variables to the X or Y Zone
    7. Merge Variables
      1. Order Variables
        1. Use a Second Variable
      2. Replace Variables
      3. Create a Second Y Axis
    8. Add Multiple Variables to Grouping Zones
      1. Order Grouping Variables
    9. Modify the Legend
    10. Create Street Maps
    11. Create Map Shapes
      1. Built-in Map Files
      2. Create Custom Map Files
        1. Change Colors and Transparency
  9. Distribution Platform
    1. Introduction
      1. About the Data
      2. Launching the Platform
      3. Using Histograms
      4. Testing a Mean
      5. Normality
      6. Testing Probabilities
      7. Annotating Results
    2. The Modeling Type of Variables
    3. Continuous Variable Graphs and Reports
      1. Normal Quantile Plots
      2. Outlier Box Plots
      3. Quantile Box Plots
      4. Stem and Leaf Plots
      5. CDF Plot
      6. Continuous Fit
    4. Categorical Variable Graphs and Reports
    5. Statistical Tests
      1. Testing a Mean
      2. Testing a Standard Deviation
      3. Testing Categorical Probabilities
    6. Confidence Intervals
    7. Saving Information
    8. Whole-Platform Options
    9. Capability Analysis
    10. Bootstrapping
  10. Fit Y by X Platform
    1. Introduction
      1. Launching the Platform
      2. Computing a t-test
      3. Pooled t test
      4. Selecting and Marking Points
      5. Analysis of Variance (anova)
      6. Comparison Circles
      7. Fitting Lines
      8. Correlation Coefficient
      9. Two-Way Contingency Tables
      10. Logistic Regression
    2. Fitting Commands and General Options
      1. Fitting Command Categories
      2. Fit the Same Command Multiple Times
      3. Fit Mean
        1. Fit Mean Report
      4. Fit Line and Fit Polynomial (1/2)
      5. Fit Line and Fit Polynomial (2/2)
        1. Linear Fit and Polynomial Fit Reports
        2. Summary of Fit Report
        3. Lack of Fit Report
        4. Analysis of Variance Report
        5. Parameter Estimates Report
      6. Fit Special
        1. Transformed Fit Report
      7. Fit Spline
      8. Kernel Smoother
      9. Fit Each Value
        1. Fit Each Value Report
      10. Fit Orthogonal
        1. Fit Orthogonal Options
        2. Orthogonal Regression Report
      11. Density Ellipse
        1. Correlation Report
      12. Nonpar Density
        1. Nonparametric Bivariate Density Report
      13. Histogram Borders
      14. Fitting Menus
      15. Fitting Menu Options
        1. Diagnostics Plots
    3. One Way anova—The Continuous by Categorical Case
      1. Script Submenu
    4. Contingency Analysis—The Categorical by Categorical Case
      1. Contingency Platform Options
    5. Logistic Regression—The Categorical by Continuous Case
      1. Overview of Logistic Regression
        1. Nominal Logistic Regression
        2. Ordinal Logistic Regression
      2. The Logistic Report
        1. Logistic Plot
        2. Iterations
        3. Whole Model Test
        4. Parameter Estimates
        5. Covariance of Estimates
      3. Logistic Platform Options
        1. ROC Curves
        2. Save Probability Formula
        3. Inverse Prediction
  11. Matched Pairs Platform
    1. Introduction
      1. Preparing the Data
      2. Launching the Platform
      3. The Matched Pairs Launch Window
      4. The Matched Pairs Scatterplot
    2. Interpreting the Matched Pairs Plot
  12. Fit Model Platform
    1. Introduction
      1. Launching the Platform
      2. Examining Results
      3. Least Squares Means
      4. Re-running an Analysis
      5. Linear Contrasts
    2. The Fit Model Launch Window
      1. Roles
      2. Model Effects
      3. Macros
        1. Full Factorial
        2. Factorial to Degree
        3. Factorial Sorted
        4. Response Surface
        5. Mixture Response Surface
        6. Polynomial to Degree
        7. Scheffe Cubic
      4. Fitting Personalities
      5. Emphasis Choices
    3. Fit Model Report Items
      1. Regression Reports
        1. The Summary of Fit Table
        2. The Analysis of Variance Table
        3. The Lack of Fit Table
        4. The Parameter Estimates Table
        5. The Effect Test Table
      2. Leverage Plots
      3. Effect Details
      4. Exploring the Estimates
        1. Expanded Estimates
        2. Custom Test
        3. Correlation of Estimates
      5. Factor Profiling
      6. Row Diagnostics
      7. Save Commands
  13. Stepwise Regression
    1. Introduction
    2. The Stepwise Report
      1. Stepwise Platform Options
      2. Stepwise Regression Control Panel
      3. Current Estimates Report
      4. Step History Report
      5. Models with Nominal and Ordinal Terms
      6. Using the Make Model Command for Hierarchical Terms
      7. The All Possible Models Option
      8. The Model Averaging Option
  14. Time Series Platform
    1. Introduction
    2. The Time Series Platform
      1. The Time Series Graph
    3. Time Series Commands
      1. Graph
      2. Autocorrelation
      3. Partial Autocorrelation
      4. Number of Forecast Periods
    4. Modeling Reports
      1. Model Comparison Table
      2. Model Summary Table
      3. Parameter Estimates Table
      4. Forecast Plot
      5. Residuals
      6. Iteration History
      7. Model Report Options
    5. ARIMA Model
    6. Smoothing Models
      1. Smoothing Model Dialog
      2. Simple Exponential Smoothing
      3. Double (Brown) Exponential Smoothing
      4. Linear (Holt) Exponential Smoothing
      5. Damped-Trend Linear Exponential Smoothing
      6. Seasonal Exponential Smoothing
      7. Winters Method (Additive)
  15. Multivariate Platform
    1. Introduction
    2. Launch the Platform
      1. Correlations Multivariate
      2. CI of Correlation
      3. Inverse Correlations and Partial Correlations
      4. Covariance Matrix
      5. Pairwise Correlations
      6. Simple Statistics
      7. Nonparametric Correlations
      8. Set a Level
      9. Scatterplot Matrix
    3. Computations and Statistical Details
      1. Pearson Product-Moment Correlation
      2. Nonparametric Measures of Association
        1. Spearman’s r (rho) Coefficients
        2. Kendall’s tb Coefficients
        3. Hoeffding’s D Statistic
      3. Inverse Correlation Matrix
  16. Survival Analysis Platform
    1. Introduction
    2. Univariate Survival Analysis
      1. Selecting Variables for Univariate Survival Analysis
      2. Example: Fan Reliability
      3. Statistical Reports for the Univariate Analysis
      4. Platform Options
      5. Interval Censoring
  17. Partition Platform
    1. Introduction
      1. Launch the Platform
      2. The Partition Launch Window
    2. The Partition Report
      1. Decision Tree Report for Continuous Responses
        1. Summary Panel (Continuous Response)
        2. Node (Continuous Response)
      2. Decision Tree Report for Categorical Responses
      3. Node Options
      4. Platform Options
    3. Graphs for Goodness of Fit
      1. Actual by Predicted Plot
      2. ROC Curves
      3. Lift Curves
    4. Informative Missing
  18. Variability Gauge Charts Platform
    1. Overview of Variability Charts
    2. Example of a Variability Chart
    3. Launch the Variability Chart Platform
    4. The Variability Gauge Chart
    5. Variability Gauge Platform Options
      1. Heterogeneity of Variance Tests
      2. Variance Components
        1. Analysis Settings
      3. About the Gauge R&R Method
      4. Gauge RR Option
        1. Enter/Verify Gauge R&R Specifications
        2. The Gauge R&R Report
      5. Discrimination Ratio
      6. Misclassification Probabilities
      7. Bias Report
      8. Linearity Study
    6. Additional Examples of Variability Charts
      1. Example of the Heterogeneity of Variance Test
      2. Example of the Bias Report Option
        1. Example of a Linearity Study
  19. Graph Platforms
    1. Introduction to Graph Builder
    2. The Scatterplot Matrix Platform
      1. Launching the Scatterplot Matrix Platform
      2. Scatterplot Matrix Platform Options
    3. The Scatterplot 3D Platform
      1. The Scatterplot 3D Report
        1. Spin the 3D Scatterplot
        2. Change Variables on the Axes
        3. Adjust the Axes
        4. Assign Colors and Markers to Data Points
        5. Assign Colors and Markers in the Data Table
      2. Scatterplot3D Platform Options
      3. Normal Contour Ellipsoids
      4. Nonparametric Density Contours
        1. Density Contour Controls
      5. Context Menu
        1. Scatterplot 3D Settings
    4. The Pareto Plot
      1. Assigning Variable Roles
      2. Pareto Plot Platform Commands
      3. Options for Bars
      4. Launch Window Options
        1. Threshold of Combined Causes
      5. One-Way Comparative Pareto Plot
      6. Two-Way Comparative Pareto Plot
      7. Defect Per Unit Analysis
      8. Using Number of Defects as Sample Size
      9. Using a Constant Sample Size Across Groups
      10. Using a Non-Constant Sample Size Across Groups
    5. Introduction to the Chart Platform
    6. The Chart Platform Launch Window
      1. Plot Statistics for Y Variables
      2. Use Categorical Variables
      3. Use Grouping Variables
      4. Adding Error Bars
    7. The Chart Report
      1. Legends
      2. Ordering
      3. Coloring Bars in a Chart
    8. Chart Platform Options
      1. General Platform Options
      2. Y Options
    9. The Overlay Plot Platform
      1. Launch the Overlay Plot Platform
      2. Overlay Plot Options
      3. General Platform Options
        1. Overlay Groups
        2. Separate Axes
      4. Y Options
    10. Copying Results into Other Programs
  20. Control Chart Platform
    1. Introduction
    2. The Control Chart Launch Window
      1. Process Information
        1. Process
        2. Sample Label
        3. Phase
      2. Chart Type Information
      3. Parameters
        1. K Sigma
        2. Alpha
      4. Using Specified Statistics
    3. Customizing the Horizontal Axis
    4. Display Options
      1. Single Chart Options
        1. Box Plots
        2. Needle
        3. Connect Points
        4. Show Points
        5. Connect Color
        6. Center Line Color
        7. Limits Color
        8. Line Width
        9. Point Marker
        10. Show Center Line
        11. Show Control Limits
        12. Limits Precision
        13. Tests
        14. Westgard Rules
        15. Test Beyond Limits
        16. Show Zones
        17. Shade Zones
        18. OC Curve
      2. Window Options
    5. Tests for Special Causes
      1. Nelson Rules
      2. Westgard Rules
    6. Excluded, Hidden, and Deleted Samples
    7. Shewhart Control Charts
    8. Shewhart Control Charts for Variables
      1. XBar-, R-, and S- Charts
        1. Example: - and S-charts with Varying Subgroup Sizes
      2. Run Charts
      3. Individual Measurement Charts
        1. Example: Individual Measurement and Moving Range Charts
    9. Shewhart Control Charts for Attributes
      1. p- and np-Charts
        1. Example: np-Charts
        2. Example: p-Charts
      2. u-Charts
        1. Example: u-Charts
      3. c-Charts
        1. Example: c-Charts for Noncomformities per Unit
    10. Phases
      1. Example
    11. Cumulative Sum (Cusum) Charts
      1. Launch Options for Cusum Charts
        1. Two Sided
        2. Data Units
        3. H
        4. Specify Stats
      2. Cusum Chart Options
        1. Show Points
        2. Connect Points
        3. Mask Color
        4. Connect Color
        5. Center Line Color
        6. Show Shift
        7. Show V Mask
        8. Show Parameters
        9. Show ARL
        10. Example: Two-Sided Cusum Chart with V-mask
  21. Screening Design Platform
    1. Introduction
    2. Creating a Screening Design
      1. Entering Responses
        1. Specifying Goal Types and Lower and Upper Limits
      2. Entering Factors
        1. Types of Factors
      3. Choosing a Design
        1. Two-Level Full Factorial
        2. Two-Level Fractional Factorial
        3. Plackett-Burman Designs
        4. Mixed-Level Designs
        5. Cotter Designs
      4. Displaying and Modifying the Design
        1. Aliasing of Effects
        2. Viewing the Confounding Pattern
        3. Understanding the Coded Design
        4. Changing the Coded Design
      5. Specifying Output Options
      6. Viewing the Table
      7. Continuing the Analysis
        1. Viewing an Actual-by-Predicted Plot
  22. Response Surface Design Platform
    1. Introduction
    2. Creating a Response Surface Design
      1. Entering Responses and Factors
      2. Choosing a Design
        1. Box-Behnken Designs
        2. Central Composite Designs
      3. Specifying Axial Value (Central Composite Designs Only)
      4. Specifying Output Options
      5. Viewing the Design Table
  23. Full Factorial Design Platform
    1. Introduction
      1. Analyze the Reactor Data
    2. Creating a Factorial Design
      1. Enter Responses and Factors
      2. Select Output Options
      3. Make the Table
  24. Sample Size and Power Platform
    1. Introduction
    2. One-Sample and Two-Sample Means
      1. Single-Sample Mean
      2. Power and Sample Size Animation for a Single Sample
      3. Two-Sample Means
    3. k-Sample Means
    4. One-Sample Standard Deviation
    5. One-Sample and Two-Sample Proportions
      1. One Sample Proportion
        1. One-Sample Proportion Window Specifications
      2. Two Sample Proportions
        1. Two Sample Proportion Window Specifications
    6. Counts per Unit
    7. Sigma Quality Level
    8. Reliability Test Plan and Demonstration
      1. Reliability Test Plan
        1. Example
      2. Reliability Demonstration
        1. Example
  25. Index
    1. Symbols
    2. Numerics
    3. A
    4. B
    5. C
    6. D
    7. E
    8. F
    9. G
    10. H
    11. I
    12. J
    13. K
    14. L
    15. M
    16. N
    17. O
    18. P
    19. Q
    20. R
    21. S
    22. T
    23. U
    24. V
    25. W-Z

Product information

  • Title: Using JMP Student Edition, Third Edition
  • Author(s): SAS Institute
  • Release date: June 2015
  • Publisher(s): SAS Institute
  • ISBN: 9781629598963