JMP 13 Basic Analysis

JMP 13 Basic Analysis

by SAS Institute
Released September 2016
Publisher(s): SAS Institute
ISBN: 9781629605661

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Book description

JMP 13 Basic Analysis covers the initial types of analyses that you often perform in JMP, such as univariate, bivariate, and oneway analyses. Creating tables of summary statistics with the Tabulate platform is included along with approximating sampling distributions using bootstrapping. Find information about how to clean up your data before performing analyses. Read about performing powerful parametric and nonparametric simulation capability using Simulation.

Table of contents

  1. Contents
  2. Learn about JMP
    1. Documentation and Additional Resources
    2. Formatting Conventions
    3. JMP Documentation
      1. JMP Documentation Library
      2. JMP Help
    4. Additional Resources for Learning JMP
      1. Tutorials
      2. Sample Data Tables
      3. Learn about Statistical and JSL Terms
      4. Learn JMP Tips and Tricks
      5. Tooltips
      6. JMP User Community
      7. JMPer Cable
      8. JMP Books by Users
      9. The JMP Starter Window
    5. Technical Support
  3. Introduction to Basic Analysis
    1. Overview of Fundamental Analysis Methods
  4. Distributions
    1. Using the Distribution Platform
    2. Overview of the Distribution Platform
      1. Categorical Variables
      2. Continuous Variables
    3. Example of the Distribution Platform
    4. Launch the Distribution Platform
    5. The Distribution Report
      1. Histograms
        1. Resize Histogram Bars for Continuous Variables
        2. Highlight Bars and Select Rows
        3. Specify Your Selection in Multiple Histograms
      2. The Frequencies Report
      3. The Quantiles Report
      4. The Summary Statistics Report
        1. Description of the Summary Statistics Report
        2. Additional Summary Statistics
        3. Summary Statistics Options
    6. Distribution Platform Options
    7. Options for Categorical Variables
      1. Display Options Submenu for Categorical Variables
      2. Histogram Options Submenu for Categorical Variables
      3. Save Submenu for Categorical Variables
    8. Options for Continuous Variables
      1. Display Options Submenu for Continuous Variables
      2. Histogram Options Submenu for Continuous Variables
      3. Normal Quantile Plot
      4. Outlier Box Plot
      5. Quantile Box Plot
      6. Stem and Leaf
      7. CDF Plot
      8. Test Mean
        1. Description of the Test Mean Report
        2. Descriptions of the Test Mean Options
      9. Test Std Dev
      10. Test Equivalence
      11. Confidence Intervals for Continuous Variables
      12. Save Commands for Continuous Variables
      13. Prediction Intervals
      14. Tolerance Intervals
      15. Capability Analysis
        1. Description of the Capability Analysis Window
        2. Description of the Capability Analysis Report
        3. Description of the Capability Analysis Options
    9. Fit Distributions
      1. Continuous Fit
        1. Comparing All Distributions
      2. Discrete Fit
      3. Fit Distribution Options
        1. Diagnostic Plot
        2. Goodness of Fit
        3. Spec Limits
    10. Additional Examples of the Distribution Platform
      1. Example of Selecting Data in Multiple Histograms
      2. Examples of the Test Probabilities Option
      3. Example of Prediction Intervals
      4. Example of Tolerance Intervals
      5. Example of Capability Analysis
    11. Statistical Details for the Distribution Platform
      1. Standard Error Bars
      2. Quantiles
      3. Summary Statistics
        1. Mean
        2. Std Dev
        3. Std Err Mean
        4. Skewness
        5. Kurtosis
      4. Normal Quantile Plot
      5. Wilcoxon Signed Rank Test
      6. Standard Deviation Test
      7. Normal Quantiles
      8. Saving Standardized Data
      9. Prediction Intervals
      10. Tolerance Intervals
        1. One-Sided Interval
        2. Two-Sided Interval
      11. Capability Analysis
        1. Capability Index Definitions
      12. Continuous Fit Distributions
        1. Normal
        2. LogNormal
        3. Weibull, Weibull with Threshold, and Extreme Value
        4. Exponential
        5. Gamma
        6. Beta
        7. Normal Mixtures
        8. Smooth Curve
        9. Johnson Su, Johnson Sb, Johnson Sl
        10. Generalized Log (Glog)
        11. All
      13. Discrete Fit Distributions
        1. Poisson
        2. Gamma Poisson
        3. Binomial
        4. Beta Binomial
      14. Fitted Quantiles
      15. Fit Distribution Options
        1. Goodness of Fit
        2. Set Spec Limits for K Sigma
  5. Introduction to Fit Y by X
    1. Examine Relationships Between Two Variables
    2. Overview of the Fit Y by X Platform
    3. Launch the Fit Y by X Platform
      1. Launch Specific Analyses from the JMP Starter Window
  6. Bivariate Analysis
    1. Examine Relationships between Two Continuous Variables
    2. Example of Bivariate Analysis
    3. Launch the Bivariate Platform
    4. The Bivariate Plot
    5. Fitting Commands and Options
      1. Fit Mean Options
      2. Fitting Command Categories
      3. Fit the Same Command Multiple Times
    6. Histogram Borders
    7. Fit Mean
      1. Fit Mean Report
    8. Fit Line and Fit Polynomial
      1. Linear Fit and Polynomial Fit Reports
        1. Summary of Fit Report
        2. Lack of Fit Report
        3. Analysis of Variance Report
        4. Parameter Estimates Report
    9. Fit Special
      1. Fit Special Reports and Menus
        1. Transformed Fit Report
    10. Flexible
      1. Fit Spline
        1. Smoothing Spline Fit Report
      2. Kernel Smoother
        1. Local Smoother Report
      3. Fit Each Value
        1. Fit Each Value Report
    11. Fit Orthogonal
      1. Fit Orthogonal Options
      2. Orthogonal Regression Report
    12. Robust
      1. Fit Robust
      2. Fit Cauchy
    13. Density Ellipse
      1. Correlation Report
    14. Nonpar Density
      1. Nonparametric Bivariate Density Report
    15. Group By
    16. Fitting Menus
      1. Fitting Menu Options
        1. Options That Apply to Most Fits
        2. Options That Apply to Multiple Fits
        3. Options That Apply to Bivariate Normal Ellipse
        4. Options That Apply to Quantile Density Contours
      2. Diagnostics Plots
    17. Additional Examples of the Bivariate Platform
      1. Example of the Fit Special Command
      2. Example Using the Fit Orthogonal Command
      3. Example Using the Fit Robust Command
      4. Example of Group By Using Density Ellipses
      5. Example of Group By Using Regression Lines
    18. Statistical Details for the Bivariate Platform
      1. Fit Line
      2. Fit Spline
      3. Fit Orthogonal
      4. Summary of Fit Report
      5. Lack of Fit Report
      6. Parameter Estimates Report
      7. Smoothing Fit Reports
      8. Correlation Report
  7. Oneway Analysis
    1. Examine Relationships between a Continuous Y and a Categorical X Variable
    2. Overview of Oneway Analysis
    3. Example of Oneway Analysis
    4. Launch the Oneway Platform
    5. The Oneway Plot
    6. Oneway Platform Options
      1. Display Options
    7. Quantiles
      1. Outlier Box Plots
    8. Means/Anova and Means/Anova/Pooled t
      1. The Summary of Fit Report
      2. The t-test Report
      3. The Analysis of Variance Report
      4. The Means for Oneway Anova Report
      5. The Block Means Report
      6. Mean Diamonds and X-Axis Proportional
      7. Mean Lines, Error Bars, and Standard Deviation Lines
    9. Analysis of Means Methods
      1. Analysis of Means for Location
        1. ANOM
        2. ANOM with Transformed Ranks
      2. Analysis of Means for Scale
        1. ANOM for Variances
        2. ANOM for Variances with Levene (ADM)
        3. ANOM for Ranges
      3. Analysis of Means Charts
      4. Analysis of Means Options
    10. Compare Means
      1. Using Comparison Circles
      2. Each Pair, Student’s t
      3. All Pairs, Tukey HSD
      4. With Best, Hsu MCB
        1. Confidence Quantile
        2. Comparison with Max and Min
        3. LSD Threshold Matrix
      5. With Control, Dunnett’s
      6. Compare Means Options
    11. Nonparametric Tests
      1. The Wilcoxon, Median, and Van der Waerden Test Reports
        1. 2-Sample Test, Normal Approximation
        2. 1-Way Test, ChiSquare Approximation
        3.  2-Sample, Exact Test
      2. Kolmogorov-Smirnov Two-Sample Test Report
        1. Kolmogorov-Smirnov Asymptotic Test
        2.  Kolmogorov-Smirnov Exact Test
      3. Nonparametric Multiple Comparisons
        1. Nonparametric Multiple Comparisons Procedures
        2. Wilcoxon Each Pair, Steel-Dwass All Pairs, and Steel with Control
        3. Dunn All Pairs for Joint Ranks and Dunn with Control for Joint Ranks
    12. Unequal Variances
      1. Tests That the Variances Are Equal Report
        1. Description of the Variances Are Equal Report
        2. Description of the Welch’s Test Report
    13. Equivalence Test
    14. Robust
      1. Robust Fit
      2. Cauchy Fit
    15. Power
      1. Power Details Window and Reports
    16. Normal Quantile Plot
    17. CDF Plot
    18. Densities
    19. Matching Column
    20. Additional Examples of the Oneway Platform
      1. Example of an Analysis of Means Chart
      2. Example of an Analysis of Means for Variances Chart
      3. Example of the Each Pair, Student’s t Test
      4. Example of the All Pairs, Tukey HSD Test
      5. Example of the With Best, Hsu MCB Test
      6. Example of the With Control, Dunnett’s Test
      7. Example Contrasting All of the Compare Means Tests
      8. Example of the Nonparametric Wilcoxon Test
      9. Example of the Unequal Variances Option
      10. Example of an Equivalence Test
      11. Example of the Robust Fit Option
      12. Example of the Power Option
      13. Example of a Normal Quantile Plot
      14. Example of a CDF Plot
      15. Example of the Densities Options
      16. Example of the Matching Column Option
      17. Example of Stacking Data for a Oneway Analysis
        1. Description and Goals
        2. Import the Data
        3. Stack the Data
        4. Conduct the Oneway Analysis
    21. Statistical Details for the Oneway Platform
      1. Comparison Circles
      2. Power
      3. Summary of Fit Report
      4. Tests That the Variances Are Equal
      5. Nonparametric Test Statistics
        1. Two-Sample Normal Approximations
        2. One-Way ChiSquare Approximations
  8. Contingency Analysis
    1. Examine Relationships between Two Categorical Variables
    2. Example of Contingency Analysis
    3. Launch the Contingency Platform
    4. The Contingency Report
    5. Contingency Platform Options
    6. Mosaic Plot
      1. Context Menu
    7. Contingency Table
      1. Description of the Contingency Table
    8. Tests
      1. Description of the Tests Report
      2. Fisher’s Exact Test
    9. Analysis of Means for Proportions
    10. Correspondence Analysis
      1. Understanding Correspondence Analysis Plots
      2. Correspondence Analysis Options
      3. The Details Report
    11. Cochran-Mantel-Haenszel Test
    12. Agreement Statistic
    13. Relative Risk
    14. Two Sample Test for Proportions
    15. Measures of Association
    16. Cochran Armitage Trend Test
    17. Exact Test
    18. Additional Examples of the Contingency Platform
      1. Example of Analysis of Means for Proportions
      2. Example of Correspondence Analysis
      3. Example of a Cochran Mantel Haenszel Test
      4. Example of the Agreement Statistic Option
      5. Example of the Relative Risk Option
      6. Example of a Two Sample Test for Proportions
      7. Example of the Measures of Association Option
      8. Example of the Cochran Armitage Trend Test
    19. Statistical Details for the Contingency Platform
      1. Agreement Statistic Option
      2. Odds Ratio Option
      3. Tests Report
      4. Details Report in Correspondence Analysis
  9. Logistic Analysis
    1. Examine Relationships between a Categorical Y and a Continuous X Variable
    2. Overview of Logistic Regression
      1. Nominal Logistic Regression
      2. Ordinal Logistic Regression
    3. Example of Nominal Logistic Regression
    4. Launch the Logistic Platform
      1. Data Structure
    5. The Logistic Report
      1. Logistic Plot
      2. Iterations
      3. Whole Model Test
      4. Parameter Estimates
        1. Covariance of Estimates
    6. Logistic Platform Options
      1. ROC Curves
      2. Save Probability Formula
      3. Inverse Prediction
    7. Additional Examples of Logistic Regression
      1. Example of Ordinal Logistic Regression
      2. Additional Example of a Logistic Plot
      3. Example of ROC Curves
      4. Example of Inverse Prediction Using the Crosshair Tool
      5. Example of Inverse Prediction Using the Inverse Prediction Option
    8. Statistical Details for the Logistic Platform
      1. Whole Model Test Report
  10. Tabulate
    1. Create Summary Tables Interactively
    2. Example of the Tabulate Platform
    3. Launch the Tabulate Platform
      1. Use the Dialog
      2. Add Statistics
        1. Change Numeric Formats
    4. The Tabulate Output
      1. Analysis Columns
      2. Grouping Columns
      3. Column and Row Tables
      4. Edit Tables
        1. Delete Items
        2. Remove Column Labels
        3. Edit Statistical Key Words and Labels
    5. Tabulate Platform Options
      1. Show Test Build Panel
      2. Right-Click Menu for Columns
    6. Additional Examples of the Tabulate Platform
      1. Example of Combining Columns into a Single Table
      2. Example Using a Page Column
  11. Simulate
    1. Answer Challenging Questions with Parametric Resampling
    2. Overview of Simulate
    3. Examples That Use Simulate
      1. Construct an Accurate Confidence Interval for Variance Components
        1. Construct the Design
        2. Fit the Model
        3. Explore Power
      2. Conduct a Permutation Test
        1. Define the Simulation Formula
        2. Perform the Permutation Test
      3. Explore Retaining a Factor in Generalized Regression
        1. Fit the Model
        2. Reduce the Model
        3. Explore the Inclusion of Blend Speed in the Model
      4. Conduct Prospective Power Analysis for a Nonlinear Model
        1. Construct the Design
        2. Define Simulated Responses
        3. Fit the Generalized Linear Model
        4. Explore Power
    4. Launch the Simulate Window
    5. The Simulate Window
    6. The Simulate Table
      1. Simulated Power Report
  12. Bootstrapping
    1. Approximate the Distribution of a Statistic through Resampling
    2. Overview of Bootstrapping
    3. Example of Bootstrapping
    4. Bootstrapping Window Options
    5. Stacked Results Table
    6. Unstacked Bootstrap Results Table
    7. Analysis of Bootstrap Results
    8. Additional Example of Bootstrapping
    9. Statistical Details for Bootstrapping
      1. Calculation of Fractional Weights
      2. Bias-Corrected Percentile Intervals
  13. Text Explorer
    1. Explore Unstructured Text in Your Data
    2. Text Explorer Platform Overview
      1. Text Processing Steps
    3. Example of the Text Explorer Platform
    4. Launch the Text Explorer Platform
      1. Customize Regex: Regular Expression Editor
    5. The Text Explorer Report
      1. Summary Counts Report
      2. Term and Phrase Lists
        1. Actions for Terms and Phrases
    6. Text Explorer Platform Options
      1. Text Preparation Options
        1. Word Cloud Options
        2. Term Options Management Windows
      2. Text Analysis Options
        1. Singular Value Decomposition Specifications Windows
      3. Save Options
        1. Document Term Matrix Specifications Window
      4. Report Options
    7. Latent Class Analysis
    8. Latent Semantic Analysis (SVD)
      1. SVD Plots Report
    9. Topic Analysis
      1. Topic Words Report
      2. Topic Scores Report
    10. Additional Example of the Text Explorer Platform
  14. Statistical Details
    1. Basic Analysis
    2. Platforms That Support Validation
  15. References
  16. Index
    1. Basic Analysis

Product information

  • Title: JMP 13 Basic Analysis
  • Author(s): SAS Institute
  • Release date: September 2016
  • Publisher(s): SAS Institute
  • ISBN: 9781629605661