Book description
In JMP, you choose from a wide repertoire of interactive graphs to help your data best tell its story. Delve into JMP 10 Basic Analysis and Graphing to find the ideal graph for your data, from basic distributions, bubble plots, scatterplots, and parallel plots to geographic maps and tree maps.
Table of contents
 Cover
 Title
 Copyright
 Contents
 Learn About JMP

Performing Univariate Analysis
 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
 Introduction to the Fit Y by X Platform

Performing Bivariate Analysis
 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
 Histogram Borders
 Group By
 Fitting Menus
 Additional Examples of the Bivariate Platform
 Statistical Details for the Bivariate Platform

Performing Oneway Analysis
 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
 Power
 Normal Quantile Plot
 CDF Plot
 Densities
 Matching Column
 Additional Examples of the Oneway Platform
 Statistical Details for the Oneway Platform

Performing Contingency Analysis
 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
 CochranMantelHaenszel 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
 Statistical Details for the Contingency Platform
 Performing Simple Logistic Regression
 Comparing Paired Data
 Bootstrapping

Interactive Data Visualization
 Overview of Graph Builder
 Example Using Graph Builder
 Launch Graph Builder
 Graph Builder Options
 Add Variables
 Change Variable Roles
 Remove Variables
 Add Multiple Variables to the X or Y Zone
 Merge Variables
 Add Multiple Variables to Grouping Zones
 Modify the Legend
 Create Map Shapes
 Additional Examples Using Graph Builder

Creating Summary Charts
 Example of the Chart Platform
 Launch the Chart Platform
 The Chart Report
 Chart Platform Options

Additional Examples of the Chart Platform
 Example Using Two Grouping Variables
 Example Using Two Grouping Variables and Two Category Variables
 Plot a Single Statistic
 Plot Multiple Statistics
 Plot Counts of Variable Levels
 Plot Multiple Statistics with Two X Variables
 Create a Stacked Bar Chart
 Create a Pie Chart
 Create a Range Chart
 Create a Chart with Ranges and Lines for Statistics
 Creating Overlay Plots
 Creating ThreeDimensional Scatterplots
 Creating Contour Plots
 Creating Bubble Plots
 Creating Maps
 Creating Parallel Plots
 Creating Cell Plots
 Creating Tree Maps
 Creating Scatterplot Matrices
 Creating Ternary Plots
 References
 Index
Product information
 Title: JMP 10 Basic Analysis and Graphing, Second Edition
 Author(s):
 Release date: July 2012
 Publisher(s): SAS Institute
 ISBN: 9781612903101
You might also like
book
JMP Connections
Achieve bestinclass metrics and get more from your data with JMP JMP Connections is the small …
book
Testing Statistical Assumptions in Research
Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so …
book
R for Everyone: Advanced Analytics and Graphics, 2nd Edition
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R …
book
Success Probability Estimation with Applications to Clinical Trials
Provides an introduction to the various statistical techniques involved in medical research and drug development with …