- Contents
- Learn about JMP
- Introduction to Basic Analysis
- Distributions
- Using the Distribution Platform
- Overview of the Distribution Platform
- Example of the Distribution Platform
- Launch the Distribution Platform
- The Distribution Report
- Distribution Platform Options
- Options for Categorical Variables
- Options for Continuous Variables
- Fit Distributions
- Additional Examples of the Distribution Platform
- Statistical Details for the Distribution Platform
- Statistical Details for Standard Error Bars
- Statistical Details for Quantiles
- Statistical Details for Summary Statistics
- Statistical Details for the Normal Quantile Plot
- Statistical Details for the Wilcoxon Signed Rank Test
- Statistical Details for the Standard Deviation Test
- Statistical Details for Normal Quantiles
- Statistical Details for Saving Standardized Data
- Statistical Details for Prediction Intervals
- Statistical Details for Tolerance Intervals
- Statistical Details for Capability Analysis
- Statistical Details for Continuous Fit Distributions
- Statistical Details for Discrete Fit Distributions
- Statistical Details for Fitted Quantiles
- Statistical Details for Fit Distribution Options
- Introduction to Fit Y by X
- Bivariate Analysis
- Examine Relationships between Two Continuous Variables
- Example of Bivariate Analysis
- Launch the Bivariate Platform
- The Bivariate Plot
- Fitting Commands and General Options
- Fit Mean
- Fit Line and Fit Polynomial
- Fit Special
- Fit Spline
- Kernel Smoother
- Fit Each Value
- Fit Orthogonal
- Density Ellipse
- Nonpar Density
- Fit Robust
- Histogram Borders
- Group By
- Fitting Menus
- Additional Examples of the Bivariate Platform
- Statistical Details for the Bivariate Platform
- Statistical Details for Fit Line
- Statistical Details for Fit Spline
- Statistical Details for Fit Orthogonal
- Statistical Details for the Summary of Fit Report
- Statistical Details for the Lack of Fit Report
- Statistical Details for the Parameter Estimates Report
- Statistical Details for the Smoothing Fit Reports
- Statistical Details for the Correlation Report
- Oneway Analysis
- Examine Relationships between a Continuous Y and a Categorical X Variable
- Overview of Oneway Analysis
- Example of Oneway Analysis
- Launch the Oneway Platform
- The Oneway Plot
- Oneway Platform Options
- Quantiles
- Means/Anova and Means/Anova/Pooled t
- Analysis of Means Methods
- Compare Means
- Nonparametric
- Unequal Variances
- Equivalence Test
- Robust Fit
- Power
- Normal Quantile Plot
- CDF Plot
- Densities
- Matching Column
- Additional Examples of the Oneway Platform
- Example of an Analysis of Means Chart
- Example of an Analysis of Means for Variances Chart
- Example of the Each Pair, Student’s t Test
- Example of the All Pairs, Tukey HSD Test
- Example of the With Best, Hsu MCB Test
- Example of the With Control, Dunnett’s Test
- Example Contrasting All of the Compare Means Tests
- Example of the Unequal Variances Option
- Example of an Equivalence Test
- Example of the Robust Fit Option
- Example of the Power Option
- Example of a Normal Quantile Plot
- Example of a CDF Plot
- Example of the Densities Options
- Example of the Matching Column Option
- Statistical Details for the Oneway Platform
- Contingency Analysis
- Examine Relationships between Two Categorical Variables
- Example of Contingency Analysis
- Launch the Contingency Platform
- The Contingency Report
- Contingency Platform Options
- Mosaic Plot
- Contingency Table
- Tests
- Analysis of Means for Proportions
- Correspondence Analysis
- Cochran-Mantel-Haenszel Test
- Agreement Statistic
- Relative Risk
- Two Sample Test for Proportions
- Measures of Association
- Cochran Armitage Trend Test
- Exact Test
- Additional Examples of the Contingency Platform
- Example of Analysis of Means for Proportions
- Example of Correspondence Analysis
- Example of a Cochran Mantel Haenszel Test
- Example of the Agreement Statistic Option
- Example of the Relative Risk Option
- Example of a Two Sample Test for Proportions
- Example of the Measures of Association Option
- Example of the Cochran Armitage Trend Test
- Statistical Details for the Contingency Platform
- Logistic Analysis
- Examine Relationships between a Categorical Y and a Continuous X Variable
- Overview of Logistic Regression
- Example of Nominal Logistic Regression
- Launch the Logistic Platform
- The Logistic Report
- Logistic Platform Options
- Additional Examples of Logistic Regression
- Statistical Details for the Logistic Platform
- Matched Pairs Analysis
- Compare Measurements on the Same Subject
- Overview of the Matched Pairs Platform
- Example of Comparing Matched Pairs
- Launch the Matched Pairs Platform
- The Matched Pairs Report
- Matched Pairs Platform Options
- Example Comparing Matched Pairs across Groups
- Statistical Details for the Matched Pairs Platform
- Bootstrapping
- Tabulate
- References
- Index
Chapter 6
Oneway Analysis
Examine Relationships between a Continuous Y and a Categorical X Variable
Using the Oneway or Fit Y by X platform, you can explore how the distribution of a continuous Y variable differs across groups defined by a single categorical X variable. For example, you might want to find out how different categories of the same type of drug (X) affect patient pain levels on a numbered scale (Y).
The Oneway platform is the continuous by nominal or ordinal personality of the Fit Y by X platform. The analysis results appear in a plot, and you can interactively add additional analyses, such as the following:
• a one-way analysis of variance to fit means and to test that they are equal
• nonparametric tests
• a test for homogeneity of variance
• multiple-comparison tests on means, with means comparison circles
• outlier box plots overlaid on each group
• power details for the one-way layout
Figure 6.1 Oneway Analysis
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