JMP 12 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Specialized Models
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
Capabilities Index
Basic Analysis
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Distributions
• Overview of the Distribution Platform
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Overview of the Distribution Platform
The treatment of variables in the Distribution platform is different, depending on the modeling type of variable, which can be categorical (nominal or ordinal) or continuous.
Categorical Variables
For categorical variables, the initial graph that appears is a histogram. The histogram shows a bar for each level of the ordinal or nominal variable. You can also add a divided (mosaic) bar chart.
The reports show counts and proportions. You can add confidence intervals and test the probabilities.
Continuous Variables
For numeric continuous variables, the initial graphs show a histogram and an outlier box plot. The histogram shows a bar for grouped values of the continuous variable. The following options are also available:
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quantile box plot
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normal quantile plot
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stem and leaf plot
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CDF plot
The reports show selected quantiles and summary statistics. Report options are available for the following:
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saving ranks, probability scores, normal quantile values, and so on, as new columns in the data table
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testing the mean and standard deviation of the column against a constant you specify
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fitting various distributions and nonparametric smoothing curves
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performing a capability analysis for a quality control application
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confidence intervals, prediction intervals, and tolerance intervals