Book Description
Updated for JMP 10, the book provides handson tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Features conceptspecific tutorials, examples, brief reviews of concepts, stepbystep illustrations, and exercises.
Table of Contents
 Preface
 Preliminaries
 JMP Right In
 Data Tables, Reports, and Scripts
 Formula Editor Adventures
 What Are Statistics?
 Simulations

Univariate Distributions: One Variable, One Sample
 Overview
 Looking at Distributions
 Describing Distributions of Values
 Statistical Inference on the Mean
 Practical Significance vs. Statistical Significance
 Examining for Normality
 Special Topic: Practical Difference
 Special Topic: Simulating the Central Limit Theorem
 Seeing Kernel Density Estimates
 Exercises

The Difference Between Two Means
 Overview

Two Independent Groups
 When the Difference Isn’t Significant
 Check the Data
 Launch the Fit Y by X Platform
 Examine the Plot
 Display and Compare the Means
 Inside the Student’s tTest
 Equal or Unequal Variances?
 OneSided Version of the Test
 Analysis of Variance and the AllPurpose FTest
 How Sensitive Is the Test? How Many More Observations Are Needed?
 When the Difference Is Significant
 Normality and Normal Quantile Plots
 Testing Means for Matched Pairs
 Two Extremes of Neglecting the Pairing Situation: A Dramatization
 A Nonparametric Approach
 Exercises
 Comparing Many Means: OneWay Analysis of Variance
 Fitting Curves through Points: Regression
 Categorical Distributions

Categorical Models
 Overview
 Fitting Categorical Responses to Categorical Factors: Contingency Tables
 TwoWay Tables: Entering Count Data
 If You Have a Perfect Fit
 Special Topic: Correspondence Analysis— Looking at Data with Many Levels
 Continuous Factors with Categorical Responses: Logistic Regression
 Surprise: Simpson's Paradox: Aggregate Data versus Grouped Data
 Generalized Linear Models
 Exercises
 Multiple Regression

Fitting Linear Models
 Overview

The General Linear Model
 Kinds of Effects in Linear Models
 Coding Scheme to Fit a OneWay anova as a Linear Model
 Regressor Construction
 Interpretation of Parameters
 Predictions Are the Means
 Parameters and Means
 Analysis of Covariance: Continuous and Categorical Terms in the Same Model
 The Prediction Equation
 The WholeModel Test and Leverage Plot
 Effect Tests and Leverage Plots
 Least Squares Means
 Lack of Fit
 Separate Slopes: When the Covariate Interacts with a Categorical Effect
 TwoWay Analysis of Variance and Interactions
 Optional Topic: Random Effects and Nested Effects
 Exercises
 Design of Experiments
 Bivariate and Multivariate Relationships
 Exploratory Modeling
 Control Charts and Capability
 Mechanics of Statistics
 Analyze and Graph Menu Commands

Answers to Selected Exercises
 Chapter 4, "Formula Editor Adventures"
 Chapter 7, "Univariate Distributions: One Variable, One Sample"
 Chapter 8, "The Difference Between Two Means"
 Chapter 9, "Comparing Many Means: OneWay Analysis of Variance"
 Chapter 10, "Fitting Curves through Points: Regression"
 Chapter 11, "Categorical Distributions"
 Chapter 12, "Categorical Models"
 Chapter 13, "Multiple Regression"
 Chapter 14, "Fitting Linear Models"
 Chapter 15, "Design of Experiments"
 Chapter 16, "Bivariate and Multivariate Relationships"
 Chapter 17, "Exploratory Modeling"
 Chapter 18, "Control Charts and Capability"
 References and Data Sources
 Technology License Notices
 Index
Product Information
 Title: JMP Start Statistics, 5th Edition
 Author(s):
 Release date: March 2012
 Publisher(s): SAS Institute
 ISBN: 9781612903071