JMP 13.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 12 Online Documentation
Basic Analysis
• Oneway Analysis
Previous
•
Next
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
Oneway Analysis
Contents
Overview of Oneway Analysis
Example of Oneway Analysis
Launch the Oneway Platform
The Oneway Plot
Oneway Platform Options
Display Options
Quantiles
Outlier Box Plots
Means/Anova and Means/Anova/Pooled t
The Summary of Fit Report
The t-test Report
The Analysis of Variance Report
The Means for Oneway Anova Report
The Block Means Report
Mean Diamonds and X-Axis Proportional
Mean Lines, Error Bars, and Standard Deviation Lines
Analysis of Means Methods
Analysis of Means for Location
Analysis of Means for Scale
Analysis of Means Charts
Analysis of Means Options
Compare Means
Using Comparison Circles
Each Pair, Student’s t
All Pairs, Tukey HSD
With Best, Hsu MCB
With Control, Dunnett’s
Compare Means Options
Nonparametric Tests
The Wilcoxon, Median, and Van der Waerden Test Reports
Kolmogorov-Smirnov Two-Sample Test Report
Nonparametric Multiple Comparisons
Unequal Variances
Tests That the Variances Are Equal Report
Equivalence Test
Robust
Robust Fit
Cauchy Fit
Power
Power Details Window and Reports
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 Nonparametric Wilcoxon Test
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
Example of Stacking Data for a Oneway Analysis
Statistical Details for the Oneway Platform
Comparison Circles
Power
Summary of Fit Report
Tests That the Variances Are Equal
Nonparametric Test Statistics
Previous
•
Next
Help created on 9/19/2017